![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20041111-234518.fits
Reduced on 20041115-133131 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 | rxh3-20041111-234518.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -1.3 |
| data.pointing_offset_y | 10.1 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.96 |
| 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 | 0.033960000000000004 |
| out.aperture_as_text | 0 |
| out.delete_old | 1 |
| out.farfield_conts | 1 2 3 4 5 10 20 30 40 50 60 70 80 90 |
| out.graph | 2 |
| out.loglevel | 8 |
| out.lut | heat |
| out.plot_device | gif |
| out.plot_height | 600 |
| out.plot_range | 80 |
| out.plot_range_largescale | 25 |
| out.plot_width | 800 |
| out.save_results | 1 |
| out.subdirspec | d |
| out.thumbnails | 1 |
| out.topdir | /home/janw/rxh3/Rxh3red |
| pan.bad_motor_file | |
| pan.edge_factor | 1.0 |
| pan.max_move | 100 |
| pan.min_weight | 0.1 |
| pan.panel_scale | 3.0 |
| pan.zernikes_to_ignore | |
| pan.zero_wt_outside | 1 |
Reduction started at: 20041115-133131
Reading data from rxh3-20041111-234518.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 = 2424.1 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.960 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 -2.99072 3.11279 -0.00248
loimag -3.02490 3.17627 -0.00899
hireal -5.00000 4.99756 0.00481
hiimag -5.00000 4.99756 0.01347
xpos -2424.06012 2407.93518 -10.36353
ypos -2402.62864 2402.28815 -0.00101
plock160 0.81299 2.18506 1.55748
lorefpwr 1.38916 2.89062 2.43827
losigpwr -4.57275 -0.29297 -4.45853
hirefpwr 1.42822 2.87598 2.45345
hisigpwr -4.48975 4.99756 -1.46051
encltemp 31.54297 32.83691 32.07927
flags 0.00000 256.00000 2.44471
phi-lock -1.36475 -0.03418 -0.73468
sindex 0.00000 254.00000 126.60925
time 0.00000 5876.99229 2937.60514
zeropt -0.00732 -0.00244 -0.00488
!!!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 = -0.28773 arcsec
Mean pointing range = 0.72793 arcsec
Mean pointing rms = 0.14248 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-1.3, 10.1 ) 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: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 90362 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 90362 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 = 2424.06 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 = 2.91602 at (0.0, 0.0) arcsec
Real: mean = 3.44568e-05 sum of squares = 2069.94
Imag: mean = 0.000408794 sum of squares = 1958.41
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 = 2.93666 at (0.0, 0.0) arcsec
Real: mean = 3.1805e-05 sum of squares = 1960.42
Imag: mean = 0.00031859 sum of squares = 2080.83
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 = 2.9737 at (0.0, 0.0) arcsec
Real: mean = 3.62735e-05 sum of squares = 1990.85
Imag: mean = 0.000272041 sum of squares = 2073.51
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 = 3.0152 at (0.0, 0.0) arcsec
Real: mean = 9.45118e-05 sum of squares = 2120.16
Imag: mean = 0.000143744 sum of squares = 1976.41
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 = 3.01332 at (0.0, 0.0) arcsec
Real: mean = 0.0002674 sum of squares = 2074.63
Imag: mean = 0.000186912 sum of squares = 2052.06
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 = 2.98847 at (0.0, 0.0) arcsec
Real: mean = 0.000207872 sum of squares = 1999.87
Imag: mean = 0.000369153 sum of squares = 2154.7
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 = 2.96187 at (0.0, 0.0) arcsec
Real: mean = 0.000224449 sum of squares = 2098.81
Imag: mean = 0.000323558 sum of squares = 2089.55
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 = 2.97329 at (0.0, 0.0) arcsec
Real: mean = 0.000146105 sum of squares = 2187.13
Imag: mean = 0.000485122 sum of squares = 2034.65
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 = 3.02059 at (0.0, 0.0) arcsec
Real: mean = -1.46096e-05 sum of squares = 2096.07
Imag: mean = 0.000379816 sum of squares = 2165.98
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 = 3.05454 at (0.0, 0.0) arcsec
Real: mean = 2.78513e-05 sum of squares = 2080.45
Imag: mean = 0.000259154 sum of squares = 2221.32
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 = 3.0568 at (0.0, 0.0) arcsec
Real: mean = 0.000118783 sum of squares = 2220.88
Imag: mean = 0.000205751 sum of squares = 2113.65
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 = 3.05509 at (0.0, 0.0) arcsec
Real: mean = 0.000204843 sum of squares = 2234.66
Imag: mean = 0.00021499 sum of squares = 2141.72
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 = 3.0333 at (0.0, 0.0) arcsec
Real: mean = 0.000223176 sum of squares = 2141.31
Imag: mean = 0.000269653 sum of squares = 2283
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 = 3.01154 at (0.0, 0.0) arcsec
Real: mean = 0.000311916 sum of squares = 2203.04
Imag: mean = 0.000389569 sum of squares = 2269.65
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 = 3.04722 at (0.0, 0.0) arcsec
Real: mean = 9.64314e-05 sum of squares = 2344.38
Imag: mean = 0.000533177 sum of squares = 2185.65
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 = 3.09097 at (0.0, 0.0) arcsec
Real: mean = 1.96763e-05 sum of squares = 2294.27
Imag: mean = 0.000346043 sum of squares = 2288.67
Masking frequency index 0
Mask scale size = 6.11725
Masking frequency index 1
Mask scale size = 6.1174
Masking frequency index 2
Mask scale size = 6.11756
Masking frequency index 3
Mask scale size = 6.11771
Masking frequency index 4
Mask scale size = 6.11786
Masking frequency index 5
Mask scale size = 6.11801
Masking frequency index 6
Mask scale size = 6.11817
Masking frequency index 7
Mask scale size = 6.11832
Masking frequency index 8
Mask scale size = 6.11847
Masking frequency index 9
Mask scale size = 6.11862
Masking frequency index 10
Mask scale size = 6.11877
Masking frequency index 11
Mask scale size = 6.11893
Masking frequency index 12
Mask scale size = 6.11908
Masking frequency index 13
Mask scale size = 6.11923
Masking frequency index 14
Mask scale size = 6.11938
Masking frequency index 15
Mask scale size = 6.11954
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.222168
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: 0.239258
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.192871
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: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -3.1373 126.57
Freq 1: Shift, scale = 2.2891 127.09
Freq 2: Shift, scale = 1.4269 127.98
Freq 3: Shift, scale = 0.56457 128.64
Freq 4: Shift, scale = -0.30321 128.8
Freq 5: Shift, scale = -1.17 128.96
Freq 6: Shift, scale = -2.0323 129.15
Freq 7: Shift, scale = -2.8909 129.79
Freq 8: Shift, scale = 2.5311 130.74
Freq 9: Shift, scale = 1.6642 131.3
Freq 10: Shift, scale = 0.80178 131.71
Freq 11: Shift, scale = -0.061498 132.84
Freq 12: Shift, scale = -0.92897 133.6
Freq 13: Shift, scale = -1.796 133.63
Freq 14: Shift, scale = -2.6571 133.72
Freq 15: Shift, scale = 2.7634 134.67
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 3
piston: -0.319 radians
x offset: 0.0295 arcsec
y offset: 0.00657 arcsec
defocus: 0.00503 mm
Estimated x pointing error is -1.27 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.11 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.965 mm (used 2.96 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.313 radians
x offset: 0.0283 arcsec
y offset: 0.0164 arcsec
defocus: 0.00513 mm
Estimated x pointing error is -1.272 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.12 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.965 mm (used 2.96 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.312 radians
x offset: 0.0137 arcsec
y offset: 0.0267 arcsec
defocus: 0.0049 mm
Estimated x pointing error is -1.286 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.13 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.965 mm (used 2.96 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.313 radians
x offset: 0.0147 arcsec
y offset: 0.0208 arcsec
defocus: 0.00233 mm
Estimated x pointing error is -1.285 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.12 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.962 mm (used 2.96 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.316 radians
x offset: 0.0126 arcsec
y offset: 0.0114 arcsec
defocus: 0.00226 mm
Estimated x pointing error is -1.287 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.11 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.962 mm (used 2.96 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.319 radians
x offset: -0.00127 arcsec
y offset: 0.0134 arcsec
defocus: 0.00337 mm
Estimated x pointing error is -1.301 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.11 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.963 mm (used 2.96 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.317 radians
x offset: -0.00895 arcsec
y offset: 0.0244 arcsec
defocus: 0.0036 mm
Estimated x pointing error is -1.309 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.12 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.964 mm (used 2.96 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.312 radians
x offset: -0.0165 arcsec
y offset: 0.0198 arcsec
defocus: 0.00338 mm
Estimated x pointing error is -1.317 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.12 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.963 mm (used 2.96 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.313 radians
x offset: -0.0193 arcsec
y offset: 0.00373 arcsec
defocus: 0.000809 mm
Estimated x pointing error is -1.319 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.1 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.316 radians
x offset: -0.0122 arcsec
y offset: -0.0115 arcsec
defocus: 0.000588 mm
Estimated x pointing error is -1.312 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.09 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.314 radians
x offset: -0.0307 arcsec
y offset: -0.00783 arcsec
defocus: 0.000836 mm
Estimated x pointing error is -1.331 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.09 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.314 radians
x offset: -0.0428 arcsec
y offset: -0.00334 arcsec
defocus: 0.000632 mm
Estimated x pointing error is -1.343 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.1 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.318 radians
x offset: -0.0446 arcsec
y offset: -0.00854 arcsec
defocus: 0.000517 mm
Estimated x pointing error is -1.345 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.09 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.321 radians
x offset: -0.0523 arcsec
y offset: -0.0423 arcsec
defocus: -0.00102 mm
Estimated x pointing error is -1.352 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.06 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.959 mm (used 2.96 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.318 radians
x offset: -0.0644 arcsec
y offset: -0.0632 arcsec
defocus: -0.00228 mm
Estimated x pointing error is -1.364 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.04 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.958 mm (used 2.96 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.316 radians
x offset: -0.0676 arcsec
y offset: -0.0699 arcsec
defocus: -0.00229 mm
Estimated x pointing error is -1.368 arcsec (used -1.3 arcsec)
Estimated y pointing error is 10.03 arcsec (used 10.1 arcsec)
Estimated defocus error is 2.958 mm (used 2.96 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 0.00159 piston
1 1 0.00566 tilt_x
1 -1 -0.02303 tilt_y
2 2 0.00622 astigmatism_0
2 0 0.00852 curvature
2 -2 -0.03074 astigmatism45
3 3 0.01207 trefoil_0
3 1 0.01194 coma_x
3 -1 -0.08938 coma_y
3 -3 0.05373 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 0.00156 piston
1 1 0.00567 tilt_x
1 -1 -0.02222 tilt_y
2 2 0.00828 astigmatism_0
2 0 0.00835 curvature
2 -2 -0.03226 astigmatism45
3 3 0.01051 trefoil_0
3 1 0.01228 coma_x
3 -1 -0.08684 coma_y
3 -3 0.05000 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 0.00140 piston
1 1 0.00505 tilt_x
1 -1 -0.02172 tilt_y
2 2 0.00840 astigmatism_0
2 0 0.00821 curvature
2 -2 -0.03316 astigmatism45
3 3 0.01015 trefoil_0
3 1 0.01025 coma_x
3 -1 -0.08634 coma_y
3 -3 0.04868 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 0.00133 piston
1 1 0.00496 tilt_x
1 -1 -0.02298 tilt_y
2 2 0.00630 astigmatism_0
2 0 0.00824 curvature
2 -2 -0.03271 astigmatism45
3 3 0.01071 trefoil_0
3 1 0.00990 coma_x
3 -1 -0.09117 coma_y
3 -3 0.05025 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 0.00144 piston
1 1 0.00525 tilt_x
1 -1 -0.02339 tilt_y
2 2 0.00504 astigmatism_0
2 0 0.00847 curvature
2 -2 -0.03094 astigmatism45
3 3 0.01340 trefoil_0
3 1 0.01042 coma_x
3 -1 -0.09172 coma_y
3 -3 0.05303 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 0.00155 piston
1 1 0.00532 tilt_x
1 -1 -0.02230 tilt_y
2 2 0.00659 astigmatism_0
2 0 0.00854 curvature
2 -2 -0.03049 astigmatism45
3 3 0.01341 trefoil_0
3 1 0.01090 coma_x
3 -1 -0.08712 coma_y
3 -3 0.05101 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 0.00148 piston
1 1 0.00595 tilt_x
1 -1 -0.02144 tilt_y
2 2 0.00906 astigmatism_0
2 0 0.00835 curvature
2 -2 -0.03200 astigmatism45
3 3 0.01178 trefoil_0
3 1 0.01321 coma_x
3 -1 -0.08433 coma_y
3 -3 0.04753 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 0.00134 piston
1 1 0.00633 tilt_x
1 -1 -0.02136 tilt_y
2 2 0.00910 astigmatism_0
2 0 0.00808 curvature
2 -2 -0.03198 astigmatism45
3 3 0.01047 trefoil_0
3 1 0.01464 coma_x
3 -1 -0.08522 coma_y
3 -3 0.04667 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 0.00122 piston
1 1 0.00632 tilt_x
1 -1 -0.02281 tilt_y
2 2 0.00697 astigmatism_0
2 0 0.00810 curvature
2 -2 -0.03145 astigmatism45
3 3 0.01090 trefoil_0
3 1 0.01439 coma_x
3 -1 -0.09100 coma_y
3 -3 0.04991 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 0.00132 piston
1 1 0.00634 tilt_x
1 -1 -0.02365 tilt_y
2 2 0.00572 astigmatism_0
2 0 0.00838 curvature
2 -2 -0.03043 astigmatism45
3 3 0.01401 trefoil_0
3 1 0.01409 coma_x
3 -1 -0.09326 coma_y
3 -3 0.05233 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 0.00142 piston
1 1 0.00597 tilt_x
1 -1 -0.02352 tilt_y
2 2 0.00662 astigmatism_0
2 0 0.00858 curvature
2 -2 -0.03059 astigmatism45
3 3 0.01461 trefoil_0
3 1 0.01335 coma_x
3 -1 -0.09227 coma_y
3 -3 0.05031 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 0.00146 piston
1 1 0.00631 tilt_x
1 -1 -0.02232 tilt_y
2 2 0.00983 astigmatism_0
2 0 0.00846 curvature
2 -2 -0.03218 astigmatism45
3 3 0.01205 trefoil_0
3 1 0.01489 coma_x
3 -1 -0.08815 coma_y
3 -3 0.04583 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 0.00135 piston
1 1 0.00674 tilt_x
1 -1 -0.02172 tilt_y
2 2 0.01004 astigmatism_0
2 0 0.00826 curvature
2 -2 -0.03306 astigmatism45
3 3 0.01148 trefoil_0
3 1 0.01597 coma_x
3 -1 -0.08725 coma_y
3 -3 0.04566 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 0.00121 piston
1 1 0.00678 tilt_x
1 -1 -0.02246 tilt_y
2 2 0.00534 astigmatism_0
2 0 0.00830 curvature
2 -2 -0.03242 astigmatism45
3 3 0.01404 trefoil_0
3 1 0.01519 coma_x
3 -1 -0.09035 coma_y
3 -3 0.04973 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 0.00131 piston
1 1 0.00635 tilt_x
1 -1 -0.02371 tilt_y
2 2 0.00434 astigmatism_0
2 0 0.00856 curvature
2 -2 -0.03014 astigmatism45
3 3 0.01638 trefoil_0
3 1 0.01367 coma_x
3 -1 -0.09379 coma_y
3 -3 0.05037 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 0.00137 piston
1 1 0.00671 tilt_x
1 -1 -0.02332 tilt_y
2 2 0.00582 astigmatism_0
2 0 0.00854 curvature
2 -2 -0.02998 astigmatism45
3 3 0.01600 trefoil_0
3 1 0.01517 coma_x
3 -1 -0.09161 coma_y
3 -3 0.04904 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: 23.7 20.9 19.2 23.1 23.8 24.9 34.4 26.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 20.6 18.2 22.1 23.3 24.2 34.1 25.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.76 4.77 5.88 5.78 4.51 4.14 8.51 5.97
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 22.7 18.9 23.1 23.8 24.9 34 26.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 22.4 18 22.1 23.4 24.3 33.8 25.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.68 4.64 5.73 5.63 4.4 4.03 8.24 5.8
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 22.3 18.7 23.8 23.8 24.9 33.9 26.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 22.1 17.8 22.8 23.4 24.2 33.6 25.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.66 4.6 5.68 5.59 4.37 4.01 8.17 5.76
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.5 19.6 23.6 23.8 25 34.2 26.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 21.2 18.7 22.7 23.4 24.3 33.7 26
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.8 4.85 5.98 5.87 4.54 4.06 8.46 5.98
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 21.3 20.2 23.3 23.9 25.1 34.5 26.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 21 19.3 22.3 23.5 24.4 34 26.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.82 4.88 6.02 5.91 4.58 4.14 8.6 6.05
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 21.5 18.9 22.8 23.7 24.8 34.4 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 21.2 18 21.8 23.3 24.2 34 25.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.68 4.64 5.73 5.63 4.39 4.02 8.26 5.81
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 21.9 18.7 22.5 23.6 24.7 34 26.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 21.7 17.9 21.5 23.2 24.1 33.7 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.61 4.51 5.57 5.49 4.29 3.93 8.01 5.65
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 22.3 18.7 22.8 23.7 24.6 33.8 26.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 22.1 17.9 21.9 23.3 24 33.6 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.64 4.57 5.64 5.55 4.31 3.88 8.01 5.67
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 21.6 19.1 23.4 23.8 24.7 34 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 21.5 18.2 22.4 23.3 24.1 33.7 25.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.82 4.87 6.01 5.89 4.53 4.01 8.43 5.97
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 21.5 20.4 24.1 23.7 24.9 34.4 26.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.6 21.3 19.5 23.1 23.3 24.2 33.9 26.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.88 4.98 6.15 6.02 4.63 4.11 8.66 6.12
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 21.1 19 23.7 23.6 24.9 34.4 26.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 20.9 18.2 22.7 23.2 24.2 34 26
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.85 4.93 6.08 5.95 4.57 4.04 8.53 6.03
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 22.6 18.7 22.8 23.6 24.9 34.2 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 22.4 17.9 21.7 23.2 24.2 33.8 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.73 4.73 5.83 5.72 4.41 3.9 8.16 5.79
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 22.2 18.8 22.6 23.7 24.9 33.9 26.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 22 18 21.5 23.3 24.2 33.6 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.71 4.69 5.79 5.68 4.4 3.92 8.14 5.77
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 21.3 19.5 22.9 23.9 24.8 34.1 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 21.2 18.6 21.8 23.5 24.2 33.7 25.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.8 4.84 5.97 5.86 4.53 4.06 8.46 5.97
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 21.2 20.3 23.3 23.8 24.8 34.6 26.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 20.9 19.4 22.2 23.4 24.2 34.1 26.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.9 5.01 6.17 6.04 4.62 4.04 8.61 6.1
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 21.8 19.3 23.3 23.6 24.9 34.6 26.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 21.5 18.4 22.3 23.2 24.2 34.2 26
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.84 4.91 6.05 5.92 4.53 3.97 8.44 5.98
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 22.6 20.4 17.6 22 22.7 24 33.4 25.5
Mean deviation is 0.62675350143260744 microns
Taper = 10 dB, Ruze illumination-weighted rms = 24.8 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 = 13188.1 (estimate), 15687.6 (perfect)
Strehl = 0.706719
Strehl ratio estimate = 0.7067
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 = 11477.3 (estimate), 15687.6 (perfect)
Strehl = 0.535257
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 22.9 4.8 -2.7 23.6
2 1 2 24.6 1.6 2.9 24.8
3 1 3 23.1 9.9 3.7 25.4
4 1 4 21.7 10.5 -7.0 25.1
5 1 5 -3.0 -1.3 17.3 17.6
6 1 6 6.2 10.5 12.3 17.3
7 1 7 16.9 12.2 20.3 29.1
8 1 8 8.9 23.2 9.8 26.7
9 1 9 -63.0 -2.7 15.0 64.8
10 1 10 28.8 12.8 21.4 38.1
11 1 11 28.6 10.7 -1.8 30.6
12 1 12 20.2 2.4 4.5 20.8
13 2 1 17.0 -7.0 -6.5 19.5
14 2 2 12.7 -9.3 -14.7 21.5
15 2 3 4.1 -9.7 -9.8 14.4
16 2 4 2.9 -7.6 -0.7 8.1
17 2 5 8.9 6.3 -9.2 14.3
18 2 6 7.0 -6.6 -9.8 13.8
19 2 7 6.5 -2.8 -0.2 7.0
20 2 8 7.2 2.3 -2.6 8.0
21 2 9 3.7 -10.2 1.4 10.9
22 2 10 7.1 2.5 9.4 12.0
23 2 11 4.1 -0.0 6.3 7.5
24 2 12 11.2 1.6 6.7 13.1
25 2 13 16.1 11.1 9.3 21.7
26 2 14 16.3 1.4 4.2 16.9
27 2 15 16.8 3.0 -0.1 17.1
28 2 16 16.9 8.7 8.5 20.8
29 2 17 12.9 9.5 1.8 16.1
30 2 18 6.1 11.4 -16.5 21.0
31 2 19 10.9 -5.6 7.7 14.5
32 2 20 21.2 -0.1 -12.7 24.7
33 2 21 3.2 -4.2 7.2 9.0
34 2 22 13.3 -6.7 -5.8 16.0
35 2 23 15.3 0.0 3.6 15.7
36 2 24 15.9 -11.7 -9.9 22.1
37 3 1 -1.5 -4.8 -11.1 12.2
38 3 2 -4.3 -6.1 -11.0 13.3
39 3 3 -4.3 -6.8 -20.5 22.0
40 3 4 -1.6 -13.5 -16.5 21.4
41 3 5 -9.2 -10.3 -14.1 19.7
42 3 6 -15.6 -8.3 -6.1 18.7
43 3 7 -4.5 -8.1 -10.2 13.7
44 3 8 0.2 -7.3 -15.0 16.7
45 3 9 -0.4 -2.6 -10.4 10.8
46 3 10 -5.2 -4.8 -14.2 15.9
47 3 11 -9.7 -8.5 -14.0 19.0
48 3 12 -0.1 -12.6 -13.5 18.4
49 3 13 -1.8 -12.1 -4.3 13.0
50 3 14 4.2 -2.4 -1.4 5.1
51 3 15 -1.2 -4.6 -2.8 5.5
52 3 16 -5.5 1.2 1.3 5.8
53 3 17 7.9 -5.8 4.7 10.9
54 3 18 4.5 2.0 10.2 11.4
55 3 19 6.1 -1.5 3.6 7.2
56 3 20 7.4 2.8 0.9 7.9
57 3 21 11.3 1.3 4.0 12.1
58 3 22 16.3 12.1 7.3 21.5
59 3 23 11.9 9.7 8.9 17.8
60 3 24 17.8 8.0 9.8 21.8
61 3 25 13.9 7.8 3.0 16.2
62 3 26 -3.2 6.9 11.3 13.6
63 3 27 9.1 8.2 4.0 12.9
64 3 28 21.9 8.6 0.7 23.6
65 3 29 10.9 6.6 4.9 13.7
66 3 30 13.3 -17.8 8.7 23.9
67 3 31 3.7 7.4 12.0 14.6
68 3 32 10.6 0.8 7.0 12.7
69 3 33 4.7 9.7 10.1 14.7
70 3 34 7.1 0.3 9.6 11.9
71 3 35 4.4 10.7 -6.1 13.1
72 3 36 -5.8 -5.4 1.6 8.1
73 3 37 6.6 -3.0 -18.1 19.5
74 3 38 -10.5 -1.2 -18.6 21.4
75 3 39 -12.7 -5.5 -17.3 22.1
76 3 40 15.7 -7.0 -12.4 21.2
77 3 41 -4.7 -13.5 -6.8 15.9
78 3 42 -0.9 -4.0 -6.7 7.9
79 3 43 -3.3 -6.3 -9.5 11.9
80 3 44 -4.5 -9.5 -1.2 10.5
81 3 45 3.1 -7.6 -12.7 15.1
82 3 46 -1.3 -5.6 -8.8 10.5
83 3 47 -3.5 -3.6 -11.0 12.1
84 3 48 2.7 -3.8 -11.4 12.3
85 4 1 -21.2 -12.5 -4.2 24.9
86 4 2 -16.6 -12.2 -13.8 24.8
87 4 3 -17.2 -13.7 -14.4 26.3
88 4 4 -12.3 -9.5 -20.4 25.7
89 4 5 -7.6 -11.0 -14.7 19.9
90 4 6 -8.9 -9.2 -15.5 20.0
91 4 7 -1.0 -11.6 -8.9 14.6
92 4 8 -3.4 -9.7 -9.0 13.6
93 4 9 -5.8 -12.1 -8.4 15.8
94 4 10 -8.0 -3.0 -11.8 14.5
95 4 11 -8.1 -4.5 -9.9 13.6
96 4 12 -12.1 -11.8 -4.1 17.4
97 4 13 -0.2 -7.8 12.9 15.1
98 4 14 2.1 -5.4 2.3 6.2
99 4 15 -2.6 4.4 2.3 5.6
100 4 16 -2.8 1.1 9.1 9.6
101 4 17 10.1 2.6 -0.9 10.5
102 4 18 1.2 3.2 15.3 15.7
103 4 19 6.5 -1.0 6.7 9.4
104 4 20 9.0 7.3 -0.7 11.7
105 4 21 7.9 2.0 7.8 11.3
106 4 22 -3.6 11.6 10.7 16.2
107 4 23 6.0 11.2 20.7 24.3
108 4 24 6.6 13.7 18.9 24.3
109 4 25 0.1 17.1 56.4 58.9
110 4 26 5.7 9.5 16.4 19.8
111 4 27 -0.6 7.1 10.3 12.5
112 4 28 11.5 1.5 5.4 12.8
113 4 29 0.8 11.9 -40.9 42.6
114 4 30 7.4 5.5 8.1 12.3
115 4 31 9.7 5.3 2.8 11.4
116 4 32 14.1 11.7 2.6 18.5
117 4 33 3.9 7.4 18.3 20.1
118 4 34 12.9 5.7 10.5 17.6
119 4 35 -19.0 10.6 -10.9 24.4
120 4 36 3.1 -2.6 6.0 7.2
121 4 37 -6.6 -16.6 -12.3 21.7
122 4 38 -4.1 -3.3 -8.9 10.4
123 4 39 -7.4 -8.7 -8.0 14.0
124 4 40 -8.2 -6.7 -5.5 11.9
125 4 41 -4.3 -1.8 0.4 4.7
126 4 42 2.1 -8.4 -14.1 16.5
127 4 43 -4.2 -8.6 -19.3 21.6
128 4 44 -2.7 -6.4 -17.3 18.6
129 4 45 -2.3 -7.7 -18.6 20.3
130 4 46 -3.5 -10.1 -16.0 19.2
131 4 47 -11.9 -10.1 -11.2 19.2
132 4 48 -19.7 -12.8 -10.2 25.6
133 5 1 -4.1 -4.3 -12.2 13.5
134 5 2 3.8 -9.1 -15.1 18.1
135 5 3 -23.3 -5.1 -5.4 24.5
136 5 4 -5.5 -0.4 -15.1 16.1
137 5 5 -11.2 -2.9 9.5 15.0
138 5 6 -10.6 -8.3 3.7 14.0
139 5 7 -15.2 1.1 -2.8 15.5
140 5 8 -13.0 -2.1 -11.6 17.5
141 5 9 -8.5 -3.8 3.4 9.9
142 5 10 -8.0 -6.5 -4.9 11.4
143 5 11 10.1 -4.3 13.5 17.4
144 5 12 5.7 0.6 13.6 14.7
145 5 13 5.3 8.0 5.8 11.2
146 5 14 0.2 11.0 5.7 12.4
147 5 15 12.7 7.8 4.7 15.6
148 5 16 1.5 10.1 9.5 13.9
149 5 17 1.2 12.4 7.1 14.3
150 5 18 5.9 6.4 214.6 214.8
151 5 19 9.9 1.3 1.2 10.0
152 5 20 9.1 -3.8 -9.6 13.8
153 5 21 8.4 -8.9 -18.8 22.4
154 5 22 2.6 -12.3 -15.1 19.6
155 5 23 -8.1 -17.8 -18.9 27.2
156 5 24 -6.6 -21.0 -22.1 31.2
157 5 25 -4.6 -19.3 -26.1 32.7
158 5 26 3.9 -9.1 -14.8 17.8
159 5 27 17.2 -15.8 -23.9 33.4
160 5 28 14.8 -6.3 -19.6 25.4
161 5 29 23.6 -3.8 -11.0 26.3
162 5 30 9.2 3.4 14.9 17.8
163 5 31 8.1 6.2 14.7 17.9
164 5 32 1.7 5.2 17.1 17.9
165 5 33 6.6 4.3 7.1 10.6
166 5 34 13.1 21.0 15.5 29.2
167 5 35 6.8 24.8 -10.4 27.7
168 5 36 2.3 7.3 -8.1 11.2
169 5 37 -7.3 -6.4 8.0 12.5
170 5 38 4.3 -7.0 5.7 10.0
171 5 39 -0.5 1.1 2.8 3.0
172 5 40 -6.4 -1.2 6.5 9.2
173 5 41 -7.9 -1.3 -11.7 14.2
174 5 42 -6.5 -11.5 -15.9 20.7
175 5 43 -11.6 -12.0 -15.4 22.7
176 5 44 -17.3 -12.5 -9.4 23.3
177 5 45 -9.7 -11.2 -9.2 17.4
178 5 46 -13.6 -7.7 -9.2 18.1
179 5 47 11.7 -7.8 -17.3 22.3
180 5 48 -6.6 -3.0 -12.2 14.2
181 6 1 12.7 11.8 9.0 19.5
182 6 2 13.4 1.3 11.1 17.5
183 6 3 11.4 2.7 11.8 16.6
184 6 4 -13.3 6.4 5.2 15.6
185 6 5 -1.5 3.4 23.9 24.2
186 6 6 8.1 6.8 -8.0 13.3
187 6 7 4.4 1.8 11.1 12.1
188 6 8 -9.6 -10.0 14.8 20.3
189 6 9 7.9 -5.1 11.7 15.0
190 6 10 -4.2 3.6 12.8 13.9
191 6 11 0.5 13.2 8.2 15.6
192 6 12 9.9 8.1 14.9 19.6
193 6 13 10.4 3.5 11.8 16.1
194 6 14 4.4 17.3 7.8 19.5
195 6 15 8.2 8.1 16.5 20.1
196 6 16 22.9 7.9 9.2 25.9
197 6 17 -0.6 8.3 -7.2 11.1
198 6 18 7.0 -13.3 -19.6 24.7
199 6 19 -14.8 -20.4 -19.6 31.9
200 6 20 -4.4 -24.7 -27.2 37.0
201 6 21 -18.6 -25.4 -12.7 33.9
202 6 22 -20.3 -37.1 -21.2 47.3
203 6 23 -31.7 -28.8 -8.7 43.7
204 6 24 -38.3 -21.1 -4.4 43.9
205 6 25 -39.4 -24.0 -6.5 46.6
206 6 26 -39.8 -31.3 -8.0 51.3
207 6 27 -20.3 -30.5 -11.7 38.4
208 6 28 -12.6 -22.6 -22.4 34.2
209 6 29 -3.4 -18.8 -24.5 31.0
210 6 30 -3.1 -0.0 42.3 42.4
211 6 31 18.8 -3.0 1.5 19.1
212 6 32 21.5 5.7 13.6 26.1
213 6 33 4.6 12.9 12.1 18.3
214 6 34 -0.3 6.9 5.8 9.0
215 6 35 15.6 26.8 21.4 37.7
216 6 36 18.5 29.0 25.4 42.8
217 6 37 3.3 13.9 7.3 16.1
218 6 38 8.5 0.8 10.5 13.5
219 6 39 3.0 9.6 6.8 12.2
220 6 40 0.5 -3.7 -10.6 11.2
221 6 41 -8.8 -3.3 -4.1 10.3
222 6 42 -6.3 -15.9 9.4 19.5
223 6 43 -0.3 -15.5 -0.7 15.5
224 6 44 -17.6 -6.6 2.9 19.0
225 6 45 -13.4 -0.9 -5.5 14.5
226 6 46 10.3 2.7 -0.4 10.7
227 6 47 12.2 -1.0 14.7 19.1
228 6 48 -14.4 13.3 15.7 25.1
229 7 1 30.1 34.5 49.0 67.0
230 7 2 22.1 30.0 48.5 61.2
231 7 3 13.0 41.7 47.4 64.5
232 7 4 19.3 18.4 53.5 59.8
233 7 5 3.5 19.2 29.5 35.3
234 7 6 21.5 18.9 23.8 37.2
235 7 7 1.9 17.4 19.3 26.0
236 7 8 24.4 14.8 -69.3 75.0
237 7 9 6.8 8.1 -1.8 10.7
238 7 10 7.0 15.3 -5.6 17.7
239 7 11 5.9 7.9 15.5 18.4
240 7 12 16.5 12.0 18.7 27.7
241 7 13 6.0 11.9 12.1 18.0
242 7 14 14.4 19.2 15.4 28.5
243 7 15 -21.3 8.6 3.5 23.3
244 7 16 12.8 3.9 -5.0 14.3
245 7 17 -17.8 2.3 -23.7 29.7
246 7 18 -12.3 -33.9 -34.9 50.2
247 7 19 -28.0 -36.1 -22.6 51.0
248 7 20 -46.1 -15.9 -28.8 56.6
249 7 21 -3.0 -15.5 12.2 20.0
250 7 22 -20.6 5.2 21.0 29.9
251 7 23 17.2 1.8 47.9 50.9
252 7 24 24.8 18.8 33.4 45.6
253 7 25 21.2 22.4 59.6 67.1
254 7 26 14.2 20.5 37.2 44.8
255 7 27 -13.3 20.0 49.2 54.7
256 7 28 6.8 -3.4 285.0 285.1
257 7 29 -35.4 -0.7 6.2 35.9
258 7 30 -28.2 -21.2 -9.5 36.5
259 7 31 13.9 -26.1 -9.1 31.0
260 7 32 4.2 -14.5 -1.8 15.2
261 7 33 6.6 -5.2 -22.4 23.9
262 7 34 11.8 7.2 -13.6 19.3
263 7 35 28.3 -2.6 6.0 29.1
264 7 36 25.0 -9.7 13.3 29.9
265 7 37 1.5 -3.4 -13.7 14.2
266 7 38 4.2 -5.8 -5.4 9.0
267 7 39 2.7 12.4 -9.1 15.6
268 7 40 -5.2 -14.9 -10.9 19.2
269 7 41 -10.9 -9.1 -0.2 14.2
270 7 42 -3.8 -3.7 2.2 5.7
271 7 43 -41.9 3.1 5.0 42.4
272 7 44 -4.1 3.2 1.1 5.3
273 7 45 8.6 -2.1 24.8 26.3
274 7 46 16.3 20.9 7.4 27.5
275 7 47 23.7 26.2 41.8 54.8
276 7 48 26.2 208.5 27.4 211.9
Creating sector-motor-move file
sector motor steps
1 1 16
1 2 5
1 3 5
1 4 1
1 5 1
1 6 -4
1 7 14
1 8 12
1 9 3
1 10 3
1 11 0
1 12 3
1 13 14
1 14 9
1 15 6
1 16 3
1 17 0
1 18 4
1 19 15
1 20 10
1 21 9
1 22 2
1 23 3
1 24 3
1 25 -4
1 26 0
1 27 -1
1 28 -6
1 29 -2
1 30 -3
1 31 -1
1 32 -1
1 33 -7
1 34 -4
1 35 -4
1 36 -5
1 37 -4
1 38 -2
1 39 1
1 40 -4
1 41 -3
1 42 -5
1 43 -3
1 44 -1
1 45 -1
1 46 -1
1 47 -3
1 48 -6
1 49 -6
1 50 -2
1 51 -1
1 52 -4
1 53 -2
1 54 3
1 55 -3
1 56 -1
1 57 -1
1 58 1
1 59 7
1 60 0
1 61 -3
1 62 -1
1 63 0
1 64 -2
1 65 5
1 66 -2
1 67 -5
1 68 -4
1 69 0
2 1 -21
2 2 4
2 3 7
2 4 4
2 5 -3
2 6 -2
2 7 5
2 8 5
2 9 0
2 10 3
2 11 0
2 12 1
2 13 7
2 14 5
2 15 6
2 16 -2
2 17 2
2 18 2
2 19 9
2 20 5
2 21 1
2 22 7
2 23 1
2 24 0
2 25 -3
2 26 0
2 27 -3
2 28 -2
2 29 -2
2 30 -1
2 31 0
2 32 0
2 33 -4
2 34 -2
2 35 -3
2 36 0
2 37 1
2 38 -2
2 39 -3
2 40 -4
2 41 -2
2 42 -2
2 43 2
2 44 0
2 45 -3
2 46 -4
2 47 -3
2 48 -2
2 49 -3
2 50 -2
2 51 -1
2 52 0
2 53 -2
2 54 0
2 55 -1
2 56 -2
2 57 -4
2 58 0
2 59 7
2 60 0
2 61 -4
2 62 -3
2 63 -2
2 64 1
2 65 1
2 66 -3
2 67 -4
2 68 -2
2 69 0
3 1 5
3 2 3
3 3 5
3 4 4
3 5 2
3 6 3
3 7 4
3 8 2
3 9 1
3 10 2
3 11 4
3 12 0
3 13 -1
3 14 4
3 15 2
3 16 3
3 17 1
3 18 -1
3 19 0
3 20 2
3 21 2
3 22 3
3 23 -1
3 24 2
3 25 4
3 26 0
3 27 1
3 28 -1
3 29 -3
3 30 -3
3 31 4
3 32 -1
3 33 3
3 34 -3
3 35 -1
3 36 -2
3 37 -1
3 38 -2
3 39 -2
3 40 -3
3 41 0
3 42 -2
3 43 1
3 44 -1
3 45 -2
3 46 -2
3 47 -3
3 48 -1
3 49 -4
3 50 -2
3 51 -2
3 52 -3
3 53 -2
3 54 2
3 55 -4
3 56 -1
3 57 -1
3 58 3
3 59 7
3 60 1
3 61 -3
3 62 0
3 63 0
3 64 0
3 65 2
3 66 -2
3 67 -4
3 68 -3
3 69 0
4 1 -1
4 2 1
4 3 3
4 4 2
4 5 2
4 6 7
4 7 1
4 8 2
4 9 -6
4 10 5
4 11 2
4 12 2
4 13 4
4 14 5
4 15 4
4 16 2
4 17 5
4 18 1
4 19 3
4 20 3
4 21 1
4 22 3
4 23 1
4 24 3
4 25 2
4 26 3
4 27 0
4 28 2
4 29 0
4 30 0
4 31 1
4 32 2
4 33 3
4 34 0
4 35 1
4 36 0
4 37 1
4 38 3
4 39 0
4 40 0
4 41 -1
4 42 0
4 43 1
4 44 2
4 45 1
4 46 3
4 47 -2
4 48 0
4 49 0
4 50 -1
4 51 0
4 52 0
4 53 0
4 54 2
4 55 0
4 56 0
4 57 1
4 58 3
4 59 6
4 60 -2
4 61 -1
4 62 -3
4 63 0
4 64 -3
4 65 1
4 66 0
4 67 0
4 68 0
4 69 -1
5 1 -8
5 2 -4
5 3 -14
5 4 -8
5 5 -7
5 6 -1
5 7 -6
5 8 -11
5 9 -8
5 10 -6
5 11 -6
5 12 -4
5 13 -10
5 14 -10
5 15 -3
5 16 -6
5 17 -4
5 18 2
5 19 -7
5 20 0
5 21 -5
5 22 -2
5 23 2
5 24 0
5 25 -2
5 26 -1
5 27 2
5 28 0
5 29 2
5 30 2
5 31 0
5 32 0
5 33 3
5 34 2
5 35 0
5 36 1
5 37 65
5 38 1
5 39 1
5 40 4
5 41 0
5 42 0
5 43 2
5 44 3
5 45 0
5 46 0
5 47 0
5 48 3
5 49 1
5 50 0
5 51 1
5 52 2
5 53 0
5 54 2
5 55 3
5 56 0
5 57 1
5 58 0
5 59 0
5 60 5
5 61 1
5 62 -1
5 63 2
5 64 0
5 65 1
5 66 0
5 67 0
5 68 0
5 69 2
6 1 10
6 2 5
6 3 7
6 4 -1
6 5 -6
6 6 -11
6 7 14
6 8 0
6 9 5
6 10 -2
6 11 -8
6 12 -9
6 13 6
6 14 1
6 15 -6
6 16 -6
6 17 -11
6 18 -6
6 19 3
6 20 -4
6 21 0
6 22 -3
6 23 -7
6 24 -5
6 25 -6
6 26 -6
6 27 -2
6 28 5
6 29 4
6 30 2
6 31 -5
6 32 -5
6 33 -2
6 34 6
6 35 3
6 36 1
6 37 -4
6 38 -3
6 39 0
6 40 3
6 41 3
6 42 -1
6 43 -5
6 44 -2
6 45 2
6 46 2
6 47 0
6 48 2
6 49 2
6 50 2
6 51 3
6 52 2
6 53 0
6 54 3
6 55 2
6 56 3
6 57 4
6 58 3
6 59 1
6 60 3
6 61 1
6 62 0
6 63 3
6 64 3
6 65 1
6 66 1
6 67 3
6 68 2
6 69 5
7 1 87
7 2 -1
7 3 2
7 4 -6
7 5 -6
7 6 -3
7 7 15
7 8 6
7 9 -4
7 10 -3
7 11 -9
7 12 -6
7 13 11
7 14 6
7 15 4
7 16 -2
7 17 -9
7 18 -12
7 19 18
7 20 6
7 21 6
7 22 -1
7 23 -7
7 24 -12
7 25 -6
7 26 -1
7 27 4
7 28 1
7 29 0
7 30 3
7 31 -7
7 32 -4
7 33 5
7 34 3
7 35 2
7 36 0
7 37 -4
7 38 -2
7 39 1
7 40 5
7 41 2
7 42 1
7 43 -7
7 44 -5
7 45 -1
7 46 17
7 47 5
7 48 0
7 49 1
7 50 2
7 51 2
7 52 1
7 53 0
7 54 4
7 55 3
7 56 2
7 57 0
7 58 3
7 59 5
7 60 6
7 61 0
7 62 2
7 63 4
7 64 0
7 65 4
7 66 2
7 67 0
7 68 2
7 69 6
8 1 0
8 2 -4
8 3 1
8 4 4
8 5 1
8 6 6
8 7 -2
8 8 -8
8 9 4
8 10 0
8 11 0
8 12 5
8 13 -2
8 14 -6
8 15 -8
8 16 12
8 17 0
8 18 0
8 19 1
8 20 0
8 21 -10
8 22 -7
8 23 -5
8 24 -1
8 25 5
8 26 1
8 27 0
8 28 0
8 29 3
8 30 4
8 31 4
8 32 1
8 33 2
8 34 0
8 35 1
8 36 2
8 37 4
8 38 1
8 39 2
8 40 2
8 41 1
8 42 2
8 43 -3
8 44 -1
8 45 7
8 46 -12
8 47 3
8 48 0
8 49 3
8 50 2
8 51 1
8 52 2
8 53 2
8 54 5
8 55 2
8 56 -5
8 57 4
8 58 7
8 59 2
8 60 2
8 61 1
8 62 2
8 63 3
8 64 2
8 65 5
8 66 0
8 67 2
8 68 0
8 69 3
9 1 4
9 2 -2
9 3 7
9 4 7
9 5 8
9 6 5
9 7 1
9 8 0
9 9 8
9 10 6
9 11 8
9 12 4
9 13 -4
9 14 2
9 15 3
9 16 1
9 17 2
9 18 0
9 19 -6
9 20 -1
9 21 2
9 22 3
9 23 3
9 24 1
9 25 -2
9 26 2
9 27 0
9 28 1
9 29 0
9 30 0
9 31 -3
9 32 7
9 33 2
9 34 -3
9 35 3
9 36 -5
9 37 4
9 38 6
9 39 4
9 40 3
9 41 1
9 42 3
9 43 2
9 44 1
9 45 2
9 46 5
9 47 2
9 48 1
9 49 -1
9 50 3
9 51 1
9 52 -5
9 53 3
9 54 1
9 55 2
9 56 0
9 57 2
9 58 0
9 59 -19
9 60 4
9 61 3
9 62 2
9 63 1
9 64 -1
9 65 3
9 66 0
9 67 0
9 68 -1
9 69 -1
10 1 -3
10 2 -4
10 3 -1
10 4 -3
10 5 -1
10 6 0
10 7 -2
10 8 3
10 9 0
10 10 2
10 11 2
10 12 0
10 13 -1
10 14 -1
10 15 1
10 16 3
10 17 0
10 18 2
10 19 -4
10 20 -1
10 21 0
10 22 2
10 23 4
10 24 1
10 25 1
10 26 0
10 27 -1
10 28 -1
10 29 -2
10 30 -2
10 31 0
10 32 0
10 33 0
10 34 -2
10 35 -2
10 36 -2
10 37 1
10 38 -2
10 39 1
10 40 -2
10 41 -1
10 42 -1
10 43 2
10 44 -1
10 45 -2
10 46 -3
10 47 -5
10 48 -2
10 49 -5
10 50 -1
10 51 -3
10 52 -3
10 53 0
10 54 6
10 55 -5
10 56 0
10 57 -3
10 58 3
10 59 8
10 60 6
10 61 -5
10 62 0
10 63 2
10 64 -1
10 65 3
10 66 2
10 67 -3
10 68 -2
10 69 4
11 1 0
11 2 0
11 3 -1
11 4 0
11 5 -2
11 6 -5
11 7 1
11 8 0
11 9 -12
11 10 0
11 11 -4
11 12 0
11 13 0
11 14 -1
11 15 -1
11 16 2
11 17 -4
11 18 -1
11 19 0
11 20 -2
11 21 -3
11 22 -1
11 23 -1
11 24 -2
11 25 -2
11 26 -3
11 27 -5
11 28 -5
11 29 -1
11 30 0
11 31 -4
11 32 -3
11 33 -3
11 34 -5
11 35 -2
11 36 -1
11 37 -4
11 38 -3
11 39 -1
11 40 -4
11 41 -2
11 42 0
11 43 -3
11 44 0
11 45 -2
11 46 0
11 47 0
11 48 -1
11 49 -2
11 50 -1
11 51 -1
11 52 -1
11 53 -2
11 54 4
11 55 -2
11 56 -1
11 57 0
11 58 3
11 59 8
11 60 0
11 61 -2
11 62 -4
11 63 -1
11 64 0
11 65 0
11 66 2
11 67 0
11 68 -2
11 69 -1
12 1 8
12 2 63
12 3 8
12 4 4
12 5 4
12 6 -4
12 7 12
12 8 8
12 9 7
12 10 4
12 11 0
12 12 3
12 13 2
12 14 6
12 15 5
12 16 0
12 17 0
12 18 3
12 19 7
12 20 0
12 21 2
12 22 -1
12 23 0
12 24 -4
12 25 -3
12 26 0
12 27 -2
12 28 -3
12 29 -3
12 30 -6
12 31 -5
12 32 -2
12 33 3
12 34 -3
12 35 -3
12 36 -3
12 37 -2
12 38 -2
12 39 -4
12 40 -4
12 41 -3
12 42 -1
12 43 -2
12 44 -3
12 45 -2
12 46 -5
12 47 -2
12 48 0
12 49 -3
12 50 -1
12 51 -1
12 52 -3
12 53 -3
12 54 4
12 55 -2
12 56 -1
12 57 0
12 58 0
12 59 6
12 60 1
12 61 -3
12 62 -2
12 63 0
12 64 -2
12 65 4
12 66 1
12 67 -3
12 68 -1
12 69 0
Adjuster movements: rms = 20.2 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041115-135658
Creating HTML output file of plots
Plotting summary text