![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20070830-235727.fits
Reduced on 20070831-011339 by janw on nene
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_coeff0.gif]](zernike_coeff0.gif)
Zernike terms 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_coeff1.gif]](zernike_coeff1.gif)
Zernike terms 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_coeff2.gif]](zernike_coeff2.gif)
Zernike terms 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_coeff3.gif]](zernike_coeff3.gif)
Zernike terms 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_coeff4.gif]](zernike_coeff4.gif)
Zernike terms 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_coeff5.gif]](zernike_coeff5.gif)
Zernike terms 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_coeff6.gif]](zernike_coeff6.gif)
Zernike terms 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_coeff7.gif]](zernike_coeff7.gif)
Zernike terms 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_coeff8.gif]](zernike_coeff8.gif)
Zernike terms 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_coeff9.gif]](zernike_coeff9.gif)
Zernike terms 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_coeff10.gif]](zernike_coeff10.gif)
Zernike terms 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_coeff11.gif]](zernike_coeff11.gif)
Zernike terms 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_coeff12.gif]](zernike_coeff12.gif)
Zernike terms 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_coeff13.gif]](zernike_coeff13.gif)
Zernike terms 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_coeff14.gif]](zernike_coeff14.gif)
Zernike terms 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
![[zernike_coeff15.gif]](zernike_coeff15.gif)
Zernike terms 15
![[kernel.gif]](kernel.gif)
Regridding kernel
![[diffsa.gif]](diffsa.gif)
diffs from mean
![[diffsb.gif]](diffsb.gif)
adjacent diffs
![[sw.gif]](sw.gif)
sw
![[sw1.gif]](sw1.gif)
sw1
![[lorefpwr_map.gif]](lorefpwr_map.gif)
Gridded lorefpwr
![[losigpwr_map.gif]](losigpwr_map.gif)
Gridded losigpwr
![[hirefpwr_map.gif]](hirefpwr_map.gif)
Gridded hirefpwr
![[hisigpwr_map.gif]](hisigpwr_map.gif)
Gridded hisigpwr
![[encltemp_map.gif]](encltemp_map.gif)
Gridded encltemp
![[flags_map.gif]](flags_map.gif)
Gridded flags
![[phi-lock_map.gif]](phi-lock_map.gif)
Gridded phi-lock
![[sindex_map.gif]](sindex_map.gif)
Gridded sindex
![[time_map.gif]](time_map.gif)
Gridded time
![[zeropt_map.gif]](zeropt_map.gif)
Gridded zeropt
![[freqpatt0.gif]](freqpatt0.gif)
Freq ids vs phase lock values: first 500 points
![[freqpatt1.gif]](freqpatt1.gif)
Freq ids vs phase lock values: 100 points near first row break
![[freqpatt2.gif]](freqpatt2.gif)
Freq ids vs phase lock values: 100 points near middle row break
![[pixelpos.gif]](pixelpos.gif){kind=tracking}
Pixel positions for frequency number 0 on losigpwr map
![[philock.gif]](philock.gif)
Phase lock gridded for each frequency
![[farfield0.gif]](farfield0.gif)
Predicted far-field pattern 0 (650 12 0)
![[farfield1.gif]](farfield1.gif)
Predicted far-field pattern 1 (900 12 0)
![[raster0.gif]](raster0.gif)
Raster 0
![[raster1.gif]](raster1.gif)
Raster 1
![[raster2.gif]](raster2.gif)
Raster 2
![[raster3.gif]](raster3.gif)
Raster 3
![[raster4.gif]](raster4.gif)
Raster 4
![[raster5.gif]](raster5.gif)
Raster 5
![[raster6.gif]](raster6.gif)
Raster 6
![[raster7.gif]](raster7.gif)
Raster 7
![[raster8.gif]](raster8.gif)
Raster 8
![[raster9.gif]](raster9.gif)
Raster 9
![[raster10.gif]](raster10.gif)
Raster 10
![[raster11.gif]](raster11.gif)
Raster 11
![[raster12.gif]](raster12.gif)
Raster 12
![[raster13.gif]](raster13.gif)
Raster 13
![[raster14.gif]](raster14.gif)
Raster 14
![[raster15.gif]](raster15.gif)
Raster 15
![[rasterrow6.gif]](rasterrow6.gif)
Row plot 6
![[rasterrow13.gif]](rasterrow13.gif)
Row plot 13
![[rasterrow21.gif]](rasterrow21.gif)
Row plot 21
![[rasterrow28.gif]](rasterrow28.gif)
Row plot 28
![[rasterrow35.gif]](rasterrow35.gif)
Row plot 35
![[rasterrow43.gif]](rasterrow43.gif)
Row plot 43
![[rasterrow50.gif]](rasterrow50.gif)
Row plot 50
![[rasterrow57.gif]](rasterrow57.gif)
Row plot 57
![[rasterrow65.gif]](rasterrow65.gif)
Row plot 65
![[rasterrow72.gif]](rasterrow72.gif)
Row plot 72
![[rasterrow79.gif]](rasterrow79.gif)
Row plot 79
![[rasterrow87.gif]](rasterrow87.gif)
Row plot 87
![[rasterrow94.gif]](rasterrow94.gif)
Row plot 94
![[rasterrow101.gif]](rasterrow101.gif)
Row plot 101
![[rasterrow109.gif]](rasterrow109.gif)
Row plot 109
![[rasterrow116.gif]](rasterrow116.gif)
Row plot 116
![[rasterrow123.gif]](rasterrow123.gif)
Row plot 123
| ::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/janw/rxh3 |
| data.filename | rxh3-20070830-235727.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 0 |
| data.pointing_offset_y | 0 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.5 |
| 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 | 0.033500000000000002 |
| 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 | 5 |
| 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: 20070831-011339
Reading data from rxh3-20070830-235727.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 = 2360.5 max = 2432.1 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.500 mm
----------------- Data Summary ---------------------
Number of samples: 366500
This is a 80 GHz map
Number of frequencies: 16
Frequencies (GHz):
80.344000 80.345000 80.346000 80.348000 80.350000 80.351000
80.352000 80.354000 80.356000 80.357000 80.358000 80.360000
80.362000 80.363000 80.364000 80.366000
item min max mean
loreal 832.00000 3263.00000 2056.86423
loimag 778.00000 3262.00000 2028.54957
hireal 0.00000 4095.00000 2383.76888
hiimag 0.00000 4095.00000 2005.89082
xpos -2432.07341 2410.69415 -13.50246
ypos -2360.53726 2403.17512 19.80795
plock160 2868.00000 3305.00000 3098.30823
lorefpwr 2254.00000 2712.00000 2565.59004
losigpwr 143.00000 1819.00000 214.57463
hirefpwr 2286.00000 2744.00000 2591.91632
hisigpwr 184.00000 4095.00000 1769.09628
encltemp 3359.00000 3460.00000 3382.10272
flags 0.00000 257.00000 2.81133
phi-lock 1824.00000 2252.00000 2027.94314
sindex 0.00000 126.00000 62.21460
time 0.00000 2913.99902 1453.13707
zeropt 2048.00000 2050.00000 2049.30978
!!!Warning!!! loreal max exceeds 4.99
!!!Warning!!! loimag max exceeds 4.99
!!!Warning!!! lorefpwr max exceeds 4.0
!!!Warning!!! losigpwrpwr max exceeds 4
!!!Warning!!! philock max exceeds 3.0
!!!Warning!!! philock min exceeds 3.0
!!!Warning!!! encltemp min exceeds 38
!!!Warning!!! encltemp max exceeds 38
!!!Warning!!! encltemp max exceeds 5
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 127 rows
There are 120 data rows and 7 calibrator rows
Calibrator rows: 19 40 61 82 103 124 126
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00497 arcsec
Mean row spacing = 40.00498 arcsec (alternate estimator)
Mean tracking incline = -0.10846 arcsec
Mean pointing range = 0.61079 arcsec
Mean pointing rms = 0.11173 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (0, 0 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 2 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
!Warning! Found 1 bad patterns
(line 387 of data.cxx)
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 134351 0 0 0 0 0 0 0 3500
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22560 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22560 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 40.0 arcseconds
Using a grid of 128 points
Grid has even number of points
Maximum data offset = 2432.07 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373034
scale = 0.00129965
Diffraction scale lambda/D = 51.3099 arcsec
Gridding function extent = 307.859 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.93 arcsec
Airy first null at 62.5811 arcsec
Gridding frequency index 0
lambda = 0.00373136 metres, scale = 0.00129929 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 = 1144.66 at (0.0, 40.010952902519172) arcsec
Real: mean = -2.85027 sum of squares = 1.38327e+08
Imag: mean = -0.683176 sum of squares = 1.30771e+08
Gridding frequency index 1
lambda = 0.00373131 metres, scale = 0.00129931 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 = 1158.98 at (0.0, -80.020909826373781) arcsec
Real: mean = -2.94491 sum of squares = 1.36263e+08
Imag: mean = -2.14286 sum of squares = 1.3456e+08
Gridding frequency index 2
lambda = 0.00373127 metres, scale = 0.00129933 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 = 1166.75 at (0.0, -80.019913872501448) arcsec
Real: mean = -2.60032 sum of squares = 1.35331e+08
Imag: mean = -3.18248 sum of squares = 1.38139e+08
Gridding frequency index 3
lambda = 0.00373118 metres, scale = 0.00129936 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 = 1153.02 at (0.0, -80.0179220391298) arcsec
Real: mean = -1.76132 sum of squares = 1.32386e+08
Imag: mean = -4.13472 sum of squares = 1.39842e+08
Gridding frequency index 4
lambda = 0.00373108 metres, scale = 0.00129939 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 = 1186.11 at (0.0, -80.015930304915997) arcsec
Real: mean = -0.604748 sum of squares = 1.26731e+08
Imag: mean = -4.17667 sum of squares = 1.41054e+08
Gridding frequency index 5
lambda = 0.00373104 metres, scale = 0.00129941 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 = 1216.93 at (0.0, -80.01493447499098) arcsec
Real: mean = 0.501853 sum of squares = 1.28273e+08
Imag: mean = -4.2846 sum of squares = 1.41783e+08
Gridding frequency index 6
lambda = 0.00373099 metres, scale = 0.00129942 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 = 1290.14 at (0.0, -80.013938669852649) arcsec
Real: mean = 1.73813 sum of squares = 1.32729e+08
Imag: mean = -3.76571 sum of squares = 1.36062e+08
Gridding frequency index 7
lambda = 0.0037309 metres, scale = 0.00129946 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 = 1229.21 at (0.0, -80.011947133932352) arcsec
Real: mean = 2.10119 sum of squares = 1.35207e+08
Imag: mean = -2.72167 sum of squares = 1.37469e+08
Gridding frequency index 8
lambda = 0.0037308 metres, scale = 0.00129949 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 = 1073.33 at (0.0, -40.004977848573851) arcsec
Real: mean = 2.52056 sum of squares = 1.33106e+08
Imag: mean = -1.34479 sum of squares = 1.34002e+08
Gridding frequency index 9
lambda = 0.00373076 metres, scale = 0.0012995 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 = 1183.22 at (0.0, 40.004480007964467) arcsec
Real: mean = 2.30686 sum of squares = 1.29663e+08
Imag: mean = 0.26038 sum of squares = 1.36198e+08
Gridding frequency index 10
lambda = 0.00373071 metres, scale = 0.00129952 radians per metre
Gridding real part of frequency 10...
Gridding imag part of frequency 10...
Pattern is holo(res.pattern10)
Weights in holo(obs.real,wt10) and holo(obs.imag,wt10)
Maximum amplitude = 1203.67 at (0.0, 40.003982179745641) arcsec
Real: mean = 1.4419 sum of squares = 1.27979e+08
Imag: mean = 0.77723 sum of squares = 1.38304e+08
Gridding frequency index 11
lambda = 0.00373062 metres, scale = 0.00129955 radians per metre
Gridding real part of frequency 11...
Gridding imag part of frequency 11...
Pattern is holo(res.pattern11)
Weights in holo(obs.real,wt11) and holo(obs.imag,wt11)
Maximum amplitude = 1171.3 at (0.0, 40.002986560477851) arcsec
Real: mean = 0.943655 sum of squares = 1.24443e+08
Imag: mean = 1.77634 sum of squares = 1.38319e+08
Gridding frequency index 12
lambda = 0.00373053 metres, scale = 0.00129959 radians per metre
Gridding real part of frequency 12...
Gridding imag part of frequency 12...
Pattern is holo(res.pattern12)
Weights in holo(obs.real,wt12) and holo(obs.imag,wt12)
Maximum amplitude = 1171.15 at (0.0, 40.001990990766792) arcsec
Real: mean = 0.0339223 sum of squares = 1.27721e+08
Imag: mean = 2.13325 sum of squares = 1.3603e+08
Gridding frequency index 13
lambda = 0.00373048 metres, scale = 0.0012996 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 = 1146.97 at (0.0, 40.001493224493863) arcsec
Real: mean = -1.29268 sum of squares = 1.32778e+08
Imag: mean = 1.96329 sum of squares = 1.34663e+08
Gridding frequency index 14
lambda = 0.00373043 metres, scale = 0.00129962 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 = 1168.98 at (0.0, 40.000995470608736) arcsec
Real: mean = -1.82698 sum of squares = 1.35738e+08
Imag: mean = 1.59308 sum of squares = 1.31334e+08
Gridding frequency index 15
lambda = 0.00373034 metres, scale = 0.00129965 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 = 1154.01 at (0.0, 40.0) arcsec
Real: mean = -2.51596 sum of squares = 1.37191e+08
Imag: mean = 0.620114 sum of squares = 1.27753e+08
Masking frequency index 0
Mask scale size = 3.00569
Masking frequency index 1
Mask scale size = 3.00573
Masking frequency index 2
Mask scale size = 3.00577
Masking frequency index 3
Mask scale size = 3.00584
Masking frequency index 4
Mask scale size = 3.00592
Masking frequency index 5
Mask scale size = 3.00595
Masking frequency index 6
Mask scale size = 3.00599
Masking frequency index 7
Mask scale size = 3.00607
Masking frequency index 8
Mask scale size = 3.00614
Masking frequency index 9
Mask scale size = 3.00618
Masking frequency index 10
Mask scale size = 3.00622
Masking frequency index 11
Mask scale size = 3.00629
Masking frequency index 12
Mask scale size = 3.00637
Masking frequency index 13
Mask scale size = 3.0064
Masking frequency index 14
Mask scale size = 3.00644
Masking frequency index 15
Mask scale size = 3.00652
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 297
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 304
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 292
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 283
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 292
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 302
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 298
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 310
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 307
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 300
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 313
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 300
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 313
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 304
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 303
Median point-to-point PLL voltage change: 7
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 295
Median point-to-point PLL voltage change: 7
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -3.0572 28650
Freq 1: Shift, scale = 2.9331 28828
Freq 2: Shift, scale = 2.5483 29826
Freq 3: Shift, scale = 2.2412 27775
Freq 4: Shift, scale = 2.0641 22870
Freq 5: Shift, scale = 1.7197 26427
Freq 6: Shift, scale = 1.3021 23804
Freq 7: Shift, scale = 0.92172 15358
Freq 8: Shift, scale = 0.21495 13704
Freq 9: Shift, scale = -0.56379 16740
Freq 10: Shift, scale = -0.99235 18946
Freq 11: Shift, scale = -1.465 26722
Freq 12: Shift, scale = -1.7743 27082
Freq 13: Shift, scale = -2.1055 35475
Freq 14: Shift, scale = -2.3593 33123
Freq 15: Shift, scale = -2.7749 30877
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: -0.397 radians
x offset: 10.4 arcsec
y offset: 21.1 arcsec
defocus: 0.579 mm
Estimated x pointing error is 10.36 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 21.12 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 3.079 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 1
Minimiser fit code = 3
piston: -0.531 radians
x offset: 10.1 arcsec
y offset: 18 arcsec
defocus: 0.716 mm
Estimated x pointing error is 10.15 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 17.98 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 3.216 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 2
Minimiser fit code = 3
piston: -0.561 radians
x offset: 8.32 arcsec
y offset: 19.7 arcsec
defocus: 0.841 mm
Estimated x pointing error is 8.324 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 19.69 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 3.341 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 3
Minimiser fit code = 3
piston: -0.462 radians
x offset: 8.54 arcsec
y offset: 16.7 arcsec
defocus: 1.34 mm
Estimated x pointing error is 8.542 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 16.73 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 3.835 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 4
Minimiser fit code = 3
piston: -0.678 radians
x offset: 8.15 arcsec
y offset: 11.1 arcsec
defocus: 1.19 mm
Estimated x pointing error is 8.151 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 11.09 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 3.692 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 5
Minimiser fit code = 3
piston: -0.843 radians
x offset: 7.66 arcsec
y offset: 14.7 arcsec
defocus: 1.23 mm
Estimated x pointing error is 7.66 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.75 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 3.729 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 6
Minimiser fit code = 3
piston: -0.884 radians
x offset: 8.89 arcsec
y offset: 8.28 arcsec
defocus: 1.76 mm
Estimated x pointing error is 8.887 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 8.281 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 4.257 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 7
Minimiser fit code = 3
piston: -1.52 radians
x offset: 8.36 arcsec
y offset: 4.71 arcsec
defocus: 1.83 mm
Estimated x pointing error is 8.361 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 4.707 arcsec (used 0 arcsec)
Estimated defocus error is 4.332 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 8
Minimiser fit code = 3
piston: 1.47 radians
x offset: -62.6 arcsec
y offset: -75.6 arcsec
defocus: 4.48 mm
Estimated x pointing error is -62.61 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is -75.64 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 6.981 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 9
Minimiser fit code = 3
piston: 0.603 radians
x offset: 10.6 arcsec
y offset: -7.02 arcsec
defocus: -1.53 mm
Estimated x pointing error is 10.6 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is -7.023 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 0.9685 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 10
Minimiser fit code = 1
piston: 0.479 radians
x offset: 9.69 arcsec
y offset: 6.51 arcsec
defocus: -0.673 mm
Estimated x pointing error is 9.689 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 6.508 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 1.827 mm (used 2.5 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 11
Minimiser fit code = 1
piston: 0.254 radians
x offset: 10.5 arcsec
y offset: 11.9 arcsec
defocus: -0.429 mm
Estimated x pointing error is 10.54 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 11.85 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.071 mm (used 2.5 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: 0.0617 radians
x offset: 9.76 arcsec
y offset: 16.3 arcsec
defocus: -0.3 mm
Estimated x pointing error is 9.76 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 16.27 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.2 mm (used 2.5 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.101 radians
x offset: 9.5 arcsec
y offset: 19.1 arcsec
defocus: 0.282 mm
Estimated x pointing error is 9.499 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 19.11 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.782 mm (used 2.5 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.107 radians
x offset: 9.76 arcsec
y offset: 15.4 arcsec
defocus: 0.357 mm
Estimated x pointing error is 9.758 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.44 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.857 mm (used 2.5 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.312 radians
x offset: 10.7 arcsec
y offset: 16.7 arcsec
defocus: 0.326 mm
Estimated x pointing error is 10.7 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 16.73 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.826 mm (used 2.5 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 -0.00960 piston
1 1 0.02102 tilt_x
1 -1 -0.08035 tilt_y
2 2 0.18253 astigmatism_0
2 0 -0.01370 curvature
2 -2 0.04358 astigmatism45
3 3 0.04290 trefoil_0
3 1 0.00744 coma_x
3 -1 -0.15914 coma_y
3 -3 0.24944 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 0.01382 piston
1 1 0.00800 tilt_x
1 -1 -0.03851 tilt_y
2 2 0.27592 astigmatism_0
2 0 0.05423 curvature
2 -2 0.02800 astigmatism45
3 3 0.03456 trefoil_0
3 1 0.00205 coma_x
3 -1 0.03111 coma_y
3 -3 0.15946 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 0.00638 piston
1 1 -0.04380 tilt_x
1 -1 -0.07501 tilt_y
2 2 0.35764 astigmatism_0
2 0 0.03505 curvature
2 -2 -0.01604 astigmatism45
3 3 0.05640 trefoil_0
3 1 -0.10078 coma_x
3 -1 -0.07919 coma_y
3 -3 0.33638 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 -0.00024 piston
1 1 -0.04612 tilt_x
1 -1 -0.15338 tilt_y
2 2 0.57461 astigmatism_0
2 0 0.04620 curvature
2 -2 -0.00978 astigmatism45
3 3 0.07056 trefoil_0
3 1 -0.10724 coma_x
3 -1 -0.07243 coma_y
3 -3 0.39655 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 -0.00869 piston
1 1 -0.04271 tilt_x
1 -1 -0.09906 tilt_y
2 2 0.29752 astigmatism_0
2 0 0.02772 curvature
2 -2 -0.01132 astigmatism45
3 3 0.06158 trefoil_0
3 1 -0.12658 coma_x
3 -1 0.02529 coma_y
3 -3 0.08837 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 -0.00024 piston
1 1 -0.05239 tilt_x
1 -1 -0.11063 tilt_y
2 2 0.34180 astigmatism_0
2 0 0.00564 curvature
2 -2 -0.02104 astigmatism45
3 3 0.06647 trefoil_0
3 1 -0.13231 coma_x
3 -1 -0.20480 coma_y
3 -3 0.31071 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 -0.02132 piston
1 1 -0.04612 tilt_x
1 -1 -0.16036 tilt_y
2 2 0.39068 astigmatism_0
2 0 -0.00008 curvature
2 -2 -0.02293 astigmatism45
3 3 0.09121 trefoil_0
3 1 -0.13170 coma_x
3 -1 -0.05200 coma_y
3 -3 0.11137 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 -0.03146 piston
1 1 -0.01263 tilt_x
1 -1 -0.12626 tilt_y
2 2 0.12184 astigmatism_0
2 0 -0.07341 curvature
2 -2 0.00182 astigmatism45
3 3 0.08411 trefoil_0
3 1 -0.10987 coma_x
3 -1 -0.15524 coma_y
3 -3 -0.09185 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 0.02365 piston
1 1 -0.00990 tilt_x
1 -1 0.09609 tilt_y
2 2 0.05303 astigmatism_0
2 0 0.08602 curvature
2 -2 -0.09981 astigmatism45
3 3 0.26616 trefoil_0
3 1 -0.03756 coma_x
3 -1 0.32147 coma_y
3 -3 0.09065 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 -0.03532 piston
1 1 0.03779 tilt_x
1 -1 0.07797 tilt_y
2 2 -0.47417 astigmatism_0
2 0 -0.07239 curvature
2 -2 0.02885 astigmatism45
3 3 -0.00237 trefoil_0
3 1 0.03035 coma_x
3 -1 0.10743 coma_y
3 -3 -0.36728 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 -0.02035 piston
1 1 0.01868 tilt_x
1 -1 0.03200 tilt_y
2 2 -0.18039 astigmatism_0
2 0 -0.03946 curvature
2 -2 0.00065 astigmatism45
3 3 0.00899 trefoil_0
3 1 0.02793 coma_x
3 -1 0.12043 coma_y
3 -3 -0.43776 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 -0.03175 piston
1 1 0.03588 tilt_x
1 -1 -0.00241 tilt_y
2 2 -0.29501 astigmatism_0
2 0 -0.09101 curvature
2 -2 0.04224 astigmatism45
3 3 -0.00726 trefoil_0
3 1 0.00768 coma_x
3 -1 -0.01790 coma_y
3 -3 -0.45269 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 -0.01392 piston
1 1 0.00632 tilt_x
1 -1 -0.00584 tilt_y
2 2 -0.16021 astigmatism_0
2 0 -0.05665 curvature
2 -2 0.01378 astigmatism45
3 3 -0.00974 trefoil_0
3 1 -0.01822 coma_x
3 -1 -0.21683 coma_y
3 -3 0.05948 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 0.01763 piston
1 1 0.00768 tilt_x
1 -1 0.07773 tilt_y
2 2 -0.04040 astigmatism_0
2 0 0.03531 curvature
2 -2 0.01992 astigmatism45
3 3 0.00042 trefoil_0
3 1 0.00633 coma_x
3 -1 0.18303 coma_y
3 -3 0.10281 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 0.00374 piston
1 1 0.01669 tilt_x
1 -1 0.02786 tilt_y
2 2 -0.04260 astigmatism_0
2 0 0.00374 curvature
2 -2 0.04549 astigmatism45
3 3 0.02562 trefoil_0
3 1 -0.01561 coma_x
3 -1 0.00714 coma_y
3 -3 0.10047 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 0.00642 piston
1 1 0.03858 tilt_x
1 -1 0.02575 tilt_y
2 2 -0.01020 astigmatism_0
2 0 0.02033 curvature
2 -2 0.07771 astigmatism45
3 3 0.03105 trefoil_0
3 1 0.00257 coma_x
3 -1 0.03339 coma_y
3 -3 0.05190 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: 317 444 423 502 451 430 418 442
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 310 444 423 499 455 432 410 440
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 9.13 17.3 22.5 25.6 29.3 39.9 61.1 39.7
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 301 444 418 482 451 442 414 441
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 302 444 417 481 454 443 412 441
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.34 6.16 11.4 19.4 30.2 43.6 59.7 39.7
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 287 430 412 479 465 447 424 445
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 283 430 412 478 476 448 416 445
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 7.56 15.2 22.2 31.2 44.5 64.4 92 59.5
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 318 433 427 471 463 462 444 454
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 314 434 423 462 461 467 446 453
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 7.98 17.4 28.2 43.5 65 93.8 131 84.9
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 375 479 443 469 447 469 429 454
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 376 480 442 469 449 466 430 454
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 7.56 14.7 20 25.2 32.4 44.1 61.7 41.2
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 412 460 429 481 461 490 444 463
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 408 453 432 477 458 481 448 461
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 14 26.6 34.7 39.7 45.7 61.3 91.9 60.4
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 435 485 459 488 461 484 454 471
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 433 481 460 486 457 480 462 471
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 8.36 16.6 23.4 31.2 42 57.9 80.2 53.1
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 541 527 469 503 502 472 458 485
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 536 522 471 498 504 472 459 485
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 10.9 20.3 24.9 24.9 21.6 23.4 41.1 30.8
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 550 488 545 518 524 573 531 537
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 548 486 542 515 524 574 535 537
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 18.5 34.3 42.1 41.7 35.2 37.9 69.6 49.5
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 520 504 522 498 479 467 467 486
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 521 500 524 501 475 465 467 485
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 6.82 14.9 24.1 36.9 55 79.7 111 72.9
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 474 496 517 498 453 447 474 477
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 483 491 521 498 452 446 463 474
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 7.08 13.7 19.4 26.2 37.5 57.1 86.1 54.2
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 390 467 442 502 458 443 443 458
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 398 468 440 500 458 437 448 457
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.05 6.49 13.8 26.1 43.9 67.6 97.5 62.9
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 379 489 457 512 457 419 431 454
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 376 496 454 511 457 422 426 453
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 12.5 23.2 28.8 29 24.6 24.7 44 32.5
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 296 478 462 517 447 418 457 458
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 299 471 461 513 451 418 456 457
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 10.5 19.4 23.6 22.8 17.2 14.8 32 23.5
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 313 441 443 519 440 434 432 449
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 313 441 444 518 441 434 430 449
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.04 2.23 3.7 6.08 9.77 14.9 21.7 13.6
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 317 458 424 517 447 427 420 444
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 318 457 424 516 449 426 419 444
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.95 3.85 5.42 7.14 9.51 13.2 18.5 12.6
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 212 223 160 148 125 106 99.7 137
Mean deviation is 1.4235327620941667 microns
Taper = 10 dB, Ruze illumination-weighted rms = 142.5 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 = 101.1 micron
Centre pixel: 64.0 64.0 Value = 83.2158 (estimate), 3708.08 (perfect)
Strehl = 0.000503632
Strehl ratio estimate = 0.003159
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 = 74.1 micron
Centre pixel: 64.0 64.0 Value = 74.1265 (estimate), 3708.08 (perfect)
Strehl = 0.000399621
Strehl ratio estimate = 0.001972
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.15028 metres
panel scale = 3.00000 metres
mean frequency = 80.35475 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 -311.0 26.3 -134.9 340.0
2 1 2 -223.6 -154.6 -56.9 277.7
3 1 3 -44.2 -349.5 76.4 360.4
4 1 4 104.4 146.5 325.5 371.9
5 1 5 130.5 374.3 388.5 555.1
6 1 6 457.5 48.9 -131.4 478.5
7 1 7 461.4 -145.9 30.8 484.9
8 1 8 196.5 357.5 361.3 545.0
9 1 9 76.2 379.3 176.4 425.2
10 1 10 -51.0 122.9 -392.5 414.4
11 1 11 -233.8 -309.6 -282.5 479.9
12 1 12 -299.1 -166.5 -10.2 342.5
13 2 1 76.1 284.1 314.3 430.4
14 2 2 -56.4 490.4 281.7 568.4
15 2 3 -177.7 261.2 119.6 337.8
16 2 4 -185.7 69.9 -178.0 266.6
17 2 5 -210.9 -185.9 -227.7 361.8
18 2 6 -106.4 -215.2 -45.8 244.4
19 2 7 125.0 0.1 363.5 384.4
20 2 8 257.8 316.5 315.7 516.1
21 2 9 362.6 104.4 -605.6 713.5
22 2 10 -339.1 -375.8 -106.2 517.2
23 2 11 -543.4 131.1 347.8 658.3
24 2 12 -402.4 341.7 385.1 653.4
25 2 13 -399.7 328.2 320.6 608.5
26 2 14 -409.6 396.1 309.4 648.4
27 2 15 -515.4 313.3 166.4 625.7
28 2 16 -453.3 -19.6 -319.2 554.8
29 2 17 400.0 -592.8 46.8 716.6
30 2 18 296.6 268.7 340.1 525.2
31 2 19 138.5 379.9 48.6 407.3
32 2 20 -113.8 18.1 -350.3 368.7
33 2 21 -303.5 -315.8 -220.6 490.4
34 2 22 -182.2 -98.1 128.4 243.5
35 2 23 -89.6 119.3 241.6 284.0
36 2 24 0.1 281.2 432.3 515.7
37 3 1 -45.1 -146.6 -170.5 229.3
38 3 2 75.6 -0.2 -194.0 208.2
39 3 3 177.2 2.5 -152.4 233.7
40 3 4 270.5 70.5 -224.8 358.7
41 3 5 325.0 72.0 39.0 335.1
42 3 6 -2.2 70.2 84.9 110.2
43 3 7 -63.5 79.5 67.6 122.2
44 3 8 -184.2 -143.2 53.6 239.4
45 3 9 -222.3 -172.1 -149.9 318.6
46 3 10 -211.3 -239.5 -178.2 365.7
47 3 11 71.0 -143.3 -5.8 160.0
48 3 12 -76.2 340.5 87.6 359.7
49 3 13 254.5 246.0 282.0 452.5
50 3 14 569.8 134.5 263.0 641.8
51 3 15 52.5 -27.7 -470.7 474.4
52 3 16 -423.7 -149.5 -129.1 467.5
53 3 17 -263.7 -127.8 378.9 479.1
54 3 18 9.0 110.1 186.6 216.9
55 3 19 194.8 17.7 -158.1 251.5
56 3 20 100.7 -70.5 -85.8 149.9
57 3 21 -99.5 22.3 -18.2 103.5
58 3 22 -88.0 19.4 134.1 161.5
59 3 23 -199.1 -8.4 120.8 233.0
60 3 24 -171.9 -60.9 62.7 192.9
61 3 25 -141.4 -72.1 108.0 192.0
62 3 26 -154.3 7.2 148.4 214.2
63 3 27 -62.4 46.3 113.9 137.9
64 3 28 -50.0 -62.0 46.6 92.3
65 3 29 31.5 -110.8 -30.5 119.1
66 3 30 161.0 -31.4 -119.9 203.2
67 3 31 29.9 40.6 126.4 136.1
68 3 32 -177.4 -86.9 307.5 365.4
69 3 33 -439.0 -83.4 -62.0 451.1
70 3 34 8.6 -88.9 -379.9 390.3
71 3 35 420.3 87.2 165.6 460.1
72 3 36 301.9 266.3 194.8 447.3
73 3 37 66.1 294.5 146.7 335.6
74 3 38 84.4 -221.3 103.6 258.5
75 3 39 -296.9 -283.7 -255.0 483.4
76 3 40 -294.5 -219.3 -201.3 418.8
77 3 41 -79.1 -188.7 170.3 266.2
78 3 42 -23.4 123.1 123.0 175.6
79 3 43 116.1 120.2 84.4 187.3
80 3 44 418.1 59.6 -26.5 423.2
81 3 45 297.7 30.4 -346.2 457.6
82 3 46 194.3 -69.2 -255.8 328.6
83 3 47 8.1 -61.6 -181.8 192.2
84 3 48 -85.2 -106.2 -162.8 212.3
85 4 1 -363.0 -29.7 318.2 483.6
86 4 2 -269.4 -76.9 273.3 391.4
87 4 3 -312.2 -76.2 229.3 394.8
88 4 4 -262.4 -155.5 186.5 357.5
89 4 5 -145.8 -145.9 -80.6 221.5
90 4 6 -87.9 -38.5 -133.1 164.1
91 4 7 140.7 -15.5 -73.0 159.3
92 4 8 -7.0 149.5 25.6 151.8
93 4 9 -306.0 53.1 -125.1 334.8
94 4 10 -177.7 -151.6 -216.3 318.3
95 4 11 -15.2 -196.7 -4.7 197.3
96 4 12 -70.3 106.3 240.7 272.4
97 4 13 137.7 283.9 -22.2 316.3
98 4 14 -0.9 -200.7 -46.2 206.0
99 4 15 -102.1 -202.0 374.0 437.2
100 4 16 126.3 87.0 94.1 180.0
101 4 17 61.9 -11.1 -127.9 142.5
102 4 18 -102.0 4.8 45.9 112.0
103 4 19 66.1 53.7 -70.1 110.3
104 4 20 300.9 -61.9 -125.0 331.7
105 4 21 -38.1 -91.0 53.5 112.2
106 4 22 -130.8 -43.9 153.4 206.3
107 4 23 -241.9 35.4 -21.4 245.5
108 4 24 -174.9 -71.5 144.4 237.7
109 4 25 -188.9 -72.4 141.1 246.6
110 4 26 -235.5 0.3 -58.8 242.7
111 4 27 -66.1 -56.7 48.4 99.6
112 4 28 97.5 -62.9 -54.7 128.2
113 4 29 221.5 -5.0 -175.7 282.8
114 4 30 91.3 73.4 -32.3 121.5
115 4 31 -113.5 67.5 -37.5 137.2
116 4 32 3.1 -1.0 -185.3 185.3
117 4 33 71.1 37.8 57.0 98.6
118 4 34 -77.2 -184.8 259.8 328.0
119 4 35 -28.8 -170.6 -31.6 175.9
120 4 36 180.0 266.1 -30.8 322.7
121 4 37 177.1 220.5 109.1 303.1
122 4 38 49.8 -253.9 147.1 297.6
123 4 39 -197.8 -199.0 -181.5 334.2
124 4 40 -363.1 42.0 -123.4 385.8
125 4 41 90.8 173.7 7.5 196.1
126 4 42 221.3 -63.5 -76.3 242.6
127 4 43 -127.2 -113.0 -127.8 212.8
128 4 44 -277.1 -121.9 21.6 303.4
129 4 45 -298.0 -112.3 216.6 385.2
130 4 46 -344.1 -48.6 253.4 430.1
131 4 47 -155.8 -71.0 385.2 421.5
132 4 48 -403.4 -46.7 315.6 514.3
133 5 1 80.0 -34.1 -185.9 205.2
134 5 2 220.9 -43.8 -297.1 372.8
135 5 3 286.5 13.7 -193.8 346.1
136 5 4 263.1 106.6 -203.9 349.6
137 5 5 185.5 117.8 34.9 222.5
138 5 6 -101.6 100.2 272.7 307.7
139 5 7 -188.4 125.0 50.7 231.6
140 5 8 -16.3 27.5 -125.2 129.2
141 5 9 116.4 47.1 130.9 181.4
142 5 10 -116.0 -143.2 83.6 202.4
143 5 11 -91.5 -94.1 31.0 134.8
144 5 12 76.2 250.7 32.2 264.0
145 5 13 -91.5 125.7 -232.5 279.7
146 5 14 -332.5 149.9 -107.6 380.2
147 5 15 37.0 147.4 -197.6 249.3
148 5 16 -222.7 -5.1 -31.9 225.0
149 5 17 135.5 -24.0 -117.5 181.0
150 5 18 -126.3 -44.1 45.1 141.2
151 5 19 -206.8 -42.2 312.0 376.7
152 5 20 119.5 77.9 167.3 219.8
153 5 21 202.9 86.7 82.2 235.5
154 5 22 106.1 77.2 -7.0 131.4
155 5 23 97.1 44.8 71.9 128.9
156 5 24 143.9 108.1 37.8 183.9
157 5 25 167.6 119.8 33.9 208.8
158 5 26 138.6 121.7 -8.9 184.7
159 5 27 169.8 102.4 117.4 230.5
160 5 28 192.3 143.4 162.7 289.9
161 5 29 96.9 121.7 214.4 264.9
162 5 30 -134.4 -122.7 385.1 425.9
163 5 31 -125.8 -68.6 -73.2 160.9
164 5 32 92.4 -13.8 -149.3 176.1
165 5 33 -131.1 48.1 -27.9 142.4
166 5 34 1.4 144.8 -51.0 153.5
167 5 35 -268.5 133.4 -84.4 311.4
168 5 36 -88.0 103.8 -147.8 200.9
169 5 37 62.1 159.2 54.3 179.3
170 5 38 -72.8 -107.2 52.4 139.8
171 5 39 -116.0 -149.7 105.2 216.6
172 5 40 19.9 59.1 82.9 103.8
173 5 41 -0.5 7.9 -129.6 129.8
174 5 42 -301.3 113.7 34.6 323.9
175 5 43 36.2 138.2 246.9 285.2
176 5 44 276.1 100.1 -43.9 296.9
177 5 45 280.9 93.7 -273.1 402.8
178 5 46 210.8 24.0 -233.0 315.1
179 5 47 143.6 -78.7 -244.7 294.5
180 5 48 56.7 -39.2 -183.7 196.2
181 6 1 154.2 43.6 14.3 160.9
182 6 2 64.5 13.5 78.2 102.3
183 6 3 12.9 42.3 135.9 142.9
184 6 4 -270.7 43.4 223.9 354.0
185 6 5 -249.1 1.4 128.5 280.3
186 6 6 -19.4 -43.8 -318.8 322.3
187 6 7 285.3 -40.6 19.3 288.8
188 6 8 -27.3 -67.2 287.1 296.1
189 6 9 87.4 -107.6 9.7 138.9
190 6 10 133.9 -26.6 193.5 236.8
191 6 11 34.9 -127.6 6.3 132.4
192 6 12 51.4 191.9 1.9 198.7
193 6 13 -97.9 13.0 -59.4 115.2
194 6 14 115.2 99.9 -1.8 152.5
195 6 15 -139.8 105.4 -191.6 259.6
196 6 16 -74.7 -103.7 -56.1 139.6
197 6 17 -61.1 -79.2 116.3 153.4
198 6 18 179.3 52.4 31.9 189.5
199 6 19 187.8 33.3 -125.1 228.1
200 6 20 26.1 -45.8 -34.0 62.7
201 6 21 -78.7 -18.1 73.4 109.1
202 6 22 -124.3 32.4 42.0 135.2
203 6 23 -44.8 50.7 28.2 73.3
204 6 24 11.5 63.3 39.1 75.3
205 6 25 -47.3 46.4 41.1 78.0
206 6 26 -139.8 41.1 72.6 162.8
207 6 27 -274.9 13.1 -23.1 276.2
208 6 28 19.6 -20.6 22.5 36.3
209 6 29 148.1 -25.0 -155.9 216.5
210 6 30 235.2 132.0 9.2 269.8
211 6 31 111.4 79.0 64.0 150.8
212 6 32 -89.2 -87.4 141.7 188.9
213 6 33 -46.4 -101.9 -23.1 114.4
214 6 34 -208.6 130.2 -265.1 361.6
215 6 35 126.1 57.3 89.2 164.7
216 6 36 -149.3 58.4 -47.8 167.3
217 6 37 74.6 137.6 93.8 182.5
218 6 38 -29.5 -53.5 -62.4 87.3
219 6 39 146.4 -48.3 136.6 206.0
220 6 40 42.6 -37.7 5.1 57.1
221 6 41 -9.5 -47.9 220.0 225.4
222 6 42 298.7 -45.7 -13.0 302.4
223 6 43 -61.7 -74.8 -216.9 237.6
224 6 44 -300.0 35.4 188.9 356.3
225 6 45 -164.6 58.1 108.7 205.6
226 6 46 69.2 84.5 45.0 118.1
227 6 47 104.3 17.4 23.0 108.2
228 6 48 173.0 65.9 -45.9 190.7
229 7 1 -152.8 39.8 86.5 180.1
230 7 2 -296.7 -12.8 87.8 309.7
231 7 3 -172.1 -53.1 57.6 189.1
232 7 4 -90.3 -62.4 -104.5 151.6
233 7 5 221.8 -101.7 -102.5 264.7
234 7 6 123.0 87.8 -6.8 151.3
235 7 7 -246.5 87.4 2.2 261.6
236 7 8 -3.2 114.4 -246.2 271.5
237 7 9 -155.3 76.8 -130.9 217.1
238 7 10 23.0 119.5 -73.5 142.2
239 7 11 14.6 -102.0 33.9 108.5
240 7 12 15.6 150.3 -27.3 153.6
241 7 13 58.5 62.0 115.1 143.2
242 7 14 -9.4 62.3 -1.2 63.1
243 7 15 85.9 -8.9 42.1 96.1
244 7 16 -11.0 -80.4 -40.6 90.7
245 7 17 70.1 -61.3 -24.6 96.3
246 7 18 -23.2 16.1 -36.1 45.8
247 7 19 12.2 45.7 37.7 60.5
248 7 20 260.8 -115.0 -79.3 295.8
249 7 21 36.8 1.5 -111.5 117.5
250 7 22 -24.2 -110.3 -137.3 177.8
251 7 23 53.1 -83.6 -77.4 125.7
252 7 24 -60.7 -11.5 -70.9 94.0
253 7 25 -8.5 -29.8 -56.1 64.1
254 7 26 52.4 -72.7 -20.2 91.9
255 7 27 -108.4 -97.7 -108.8 182.0
256 7 28 108.4 27.4 12.8 112.6
257 7 29 166.5 -157.8 -112.0 255.2
258 7 30 8.2 -3.1 51.7 52.5
259 7 31 22.8 -36.2 -5.1 43.1
260 7 32 -1.8 -31.1 57.4 65.3
261 7 33 -101.5 -77.2 -46.3 135.7
262 7 34 6.1 -13.5 0.2 14.8
263 7 35 -78.0 -13.7 -30.1 84.8
264 7 36 -59.0 89.5 39.3 114.2
265 7 37 75.5 98.3 78.4 146.6
266 7 38 -69.8 -31.0 -107.7 132.1
267 7 39 -0.7 98.1 -43.0 107.1
268 7 40 -115.6 67.2 -65.9 149.1
269 7 41 38.1 88.2 -207.6 228.7
270 7 42 -266.5 180.7 -55.6 326.8
271 7 43 228.0 154.1 -70.7 284.1
272 7 44 181.9 -113.8 -104.0 238.5
273 7 45 -179.4 -90.0 82.0 216.8
274 7 46 -202.6 -36.7 138.4 248.1
275 7 47 -239.1 -5.2 32.2 241.3
276 7 48 -129.6 19.5 51.0 140.6
Creating sector-motor-move file
sector motor steps
1 1 -32
1 2 -19
1 3 -27
1 4 68
1 5 13
1 6 -83
1 7 17
1 8 -16
1 9 -52
1 10 41
1 11 12
1 12 3
1 13 26
1 14 -3
1 15 -91
1 16 23
1 17 4
1 18 19
1 19 26
1 20 12
1 21 -46
1 22 4
1 23 13
1 24 47
1 25 -62
1 26 32
1 27 80
1 28 57
1 29 -47
1 30 -80
1 31 -59
1 32 4
1 33 87
1 34 70
1 35 -23
1 36 -95
1 37 -91
1 38 -13
1 39 67
1 40 83
1 41 -23
1 42 -82
1 43 -57
1 44 -10
1 45 24
1 46 97
1 47 -9
1 48 -100
1 49 -46
1 50 0
1 51 54
1 52 86
1 53 100
1 54 -17
1 55 -59
1 56 0
1 57 23
1 58 8
1 59 -95
1 60 -41
1 61 -52
1 62 -44
1 63 -13
1 64 80
1 65 23
1 66 96
1 67 -68
1 68 21
1 69 82
2 1 -75
2 2 35
2 3 0
2 4 88
2 5 -20
2 6 -8
2 7 0
2 8 26
2 9 -75
2 10 5
2 11 -12
2 12 87
2 13 -2
2 14 26
2 15 37
2 16 -97
2 17 -13
2 18 -5
2 19 -31
2 20 -31
2 21 68
2 22 39
2 23 0
2 24 -76
2 25 -38
2 26 8
2 27 -4
2 28 7
2 29 45
2 30 -2
2 31 15
2 32 38
2 33 -57
2 34 -22
2 35 -4
2 36 43
2 37 83
2 38 30
2 39 -31
2 40 -40
2 41 -11
2 42 -26
2 43 10
2 44 36
2 45 56
2 46 -24
2 47 -44
2 48 -44
2 49 20
2 50 24
2 51 -19
2 52 -54
2 53 21
2 54 -56
2 55 26
2 56 21
2 57 0
2 58 -47
2 59 -68
2 60 -17
2 61 11
2 62 22
2 63 99
2 64 -57
2 65 -54
2 66 36
2 67 16
2 68 -43
2 69 -56
3 1 -8
3 2 46
3 3 4
3 4 0
3 5 58
3 6 15
3 7 10
3 8 -31
3 9 4
3 10 1
3 11 -39
3 12 10
3 13 -22
3 14 36
3 15 7
3 16 59
3 17 -8
3 18 41
3 19 -40
3 20 23
3 21 -47
3 22 2
3 23 -32
3 24 26
3 25 9
3 26 76
3 27 23
3 28 73
3 29 32
3 30 -21
3 31 9
3 32 -28
3 33 -28
3 34 -1
3 35 -60
3 36 -4
3 37 25
3 38 -43
3 39 -35
3 40 -66
3 41 -46
3 42 -54
3 43 40
3 44 14
3 45 35
3 46 -38
3 47 16
3 48 -93
3 49 -1
3 50 -43
3 51 21
3 52 -14
3 53 -66
3 54 -32
3 55 -54
3 56 -73
3 57 -64
3 58 -100
3 59 -13
3 60 23
3 61 -45
3 62 -52
3 63 -68
3 64 0
3 65 -64
3 66 -69
3 67 26
3 68 100
3 69 -23
4 1 -12
4 2 -24
4 3 -3
4 4 -17
4 5 -31
4 6 -22
4 7 12
4 8 -2
4 9 26
4 10 -58
4 11 32
4 12 -42
4 13 0
4 14 19
4 15 -2
4 16 0
4 17 30
4 18 35
4 19 35
4 20 19
4 21 17
4 22 -18
4 23 3
4 24 -30
4 25 -9
4 26 -1
4 27 -68
4 28 28
4 29 26
4 30 38
4 31 -60
4 32 45
4 33 11
4 34 100
4 35 -61
4 36 -31
4 37 -33
4 38 45
4 39 -100
4 40 -14
4 41 -61
4 42 0
4 43 -71
4 44 38
4 45 -28
4 46 -6
4 47 87
4 48 42
4 49 -100
4 50 -8
4 51 16
4 52 96
4 53 97
4 54 79
4 55 80
4 56 41
4 57 100
4 58 44
4 59 32
4 60 99
4 61 86
4 62 75
4 63 78
4 64 32
4 65 38
4 66 100
4 67 -39
4 68 -45
4 69 -100
5 1 -24
5 2 -35
5 3 79
5 4 -10
5 5 -14
5 6 8
5 7 11
5 8 14
5 9 3
5 10 -38
5 11 10
5 12 57
5 13 -11
5 14 4
5 15 -7
5 16 9
5 17 16
5 18 54
5 19 -7
5 20 -18
5 21 21
5 22 35
5 23 -24
5 24 -18
5 25 51
5 26 23
5 27 36
5 28 -38
5 29 -18
5 30 92
5 31 95
5 32 -12
5 33 -63
5 34 -21
5 35 16
5 36 20
5 37 13
5 38 -13
5 39 -38
5 40 14
5 41 1
5 42 -31
5 43 -36
5 44 -7
5 45 41
5 46 -39
5 47 -3
5 48 18
5 49 -48
5 50 5
5 51 59
5 52 -32
5 53 -100
5 54 -100
5 55 57
5 56 33
5 57 2
5 58 100
5 59 40
5 60 100
5 61 100
5 62 -39
5 63 -80
5 64 40
5 65 100
5 66 -100
5 67 -26
5 68 -21
5 69 30
6 1 -21
6 2 -3
6 3 -18
6 4 11
6 5 19
6 6 3
6 7 -23
6 8 -25
6 9 16
6 10 8
6 11 15
6 12 -13
6 13 -42
6 14 -33
6 15 -7
6 16 12
6 17 9
6 18 -38
6 19 -34
6 20 0
6 21 11
6 22 22
6 23 -5
6 24 -24
6 25 11
6 26 33
6 27 44
6 28 44
6 29 -21
6 30 -53
6 31 22
6 32 13
6 33 29
6 34 -6
6 35 10
6 36 -74
6 37 -2
6 38 23
6 39 32
6 40 47
6 41 -13
6 42 -40
6 43 25
6 44 26
6 45 62
6 46 16
6 47 -27
6 48 -11
6 49 37
6 50 -2
6 51 -61
6 52 100
6 53 100
6 54 -100
6 55 41
6 56 5
6 57 -26
6 58 15
6 59 100
6 60 -40
6 61 -5
6 62 6
6 63 -30
6 64 100
6 65 -100
6 66 100
6 67 19
6 68 -18
6 69 -52
7 1 3
7 2 8
7 3 33
7 4 6
7 5 -6
7 6 6
7 7 -33
7 8 -29
7 9 -33
7 10 -7
7 11 4
7 12 -84
7 13 -6
7 14 -22
7 15 16
7 16 22
7 17 12
7 18 -42
7 19 -17
7 20 -9
7 21 -2
7 22 12
7 23 14
7 24 -14
7 25 49
7 26 43
7 27 58
7 28 -16
7 29 -19
7 30 29
7 31 36
7 32 31
7 33 52
7 34 14
7 35 -17
7 36 -20
7 37 -2
7 38 37
7 39 42
7 40 -18
7 41 0
7 42 -72
7 43 10
7 44 36
7 45 51
7 46 43
7 47 -22
7 48 -57
7 49 34
7 50 14
7 51 -19
7 52 94
7 53 100
7 54 -100
7 55 45
7 56 2
7 57 -47
7 58 -44
7 59 100
7 60 9
7 61 33
7 62 -22
7 63 -43
7 64 96
7 65 -100
7 66 98
7 67 14
7 68 -19
7 69 -15
8 1 17
8 2 -9
8 3 0
8 4 43
8 5 -26
8 6 -27
8 7 -1
8 8 -11
8 9 6
8 10 19
8 11 24
8 12 34
8 13 15
8 14 0
8 15 2
8 16 2
8 17 40
8 18 72
8 19 -34
8 20 -48
8 21 51
8 22 -47
8 23 -7
8 24 45
8 25 -45
8 26 -4
8 27 28
8 28 -56
8 29 0
8 30 0
8 31 -22
8 32 -21
8 33 -38
8 34 -11
8 35 20
8 36 -34
8 37 100
8 38 -37
8 39 -41
8 40 -9
8 41 22
8 42 28
8 43 65
8 44 37
8 45 29
8 46 -53
8 47 -1
8 48 67
8 49 38
8 50 12
8 51 9
8 52 -97
8 53 -6
8 54 -100
8 55 -36
8 56 -9
8 57 49
8 58 100
8 59 60
8 60 100
8 61 -9
8 62 -33
8 63 9
8 64 -100
8 65 -100
8 66 51
8 67 94
8 68 -26
8 69 -54
9 1 12
9 2 27
9 3 -18
9 4 -14
9 5 17
9 6 -45
9 7 -9
9 8 -4
9 9 -23
9 10 27
9 11 17
9 12 38
9 13 0
9 14 -4
9 15 1
9 16 -81
9 17 39
9 18 -63
9 19 -14
9 20 -23
9 21 -31
9 22 -7
9 23 -31
9 24 -14
9 25 -45
9 26 31
9 27 -26
9 28 -9
9 29 81
9 30 55
9 31 -25
9 32 40
9 33 -82
9 34 -9
9 35 -52
9 36 -8
9 37 -15
9 38 44
9 39 0
9 40 79
9 41 -56
9 42 -23
9 43 -8
9 44 14
9 45 -40
9 46 17
9 47 11
9 48 21
9 49 50
9 50 26
9 51 100
9 52 100
9 53 82
9 54 90
9 55 -100
9 56 -27
9 57 2
9 58 100
9 59 23
9 60 54
9 61 -19
9 62 -25
9 63 -100
9 64 100
9 65 100
9 66 14
9 67 59
9 68 81
9 69 92
10 1 -20
10 2 20
10 3 -35
10 4 1
10 5 -11
10 6 13
10 7 -13
10 8 30
10 9 0
10 10 41
10 11 -14
10 12 44
10 13 -33
10 14 -9
10 15 -21
10 16 -19
10 17 -16
10 18 -9
10 19 24
10 20 30
10 21 23
10 22 28
10 23 42
10 24 22
10 25 25
10 26 18
10 27 6
10 28 -37
10 29 12
10 30 -100
10 31 32
10 32 -45
10 33 -35
10 34 -55
10 35 -61
10 36 -60
10 37 16
10 38 -32
10 39 -22
10 40 45
10 41 -77
10 42 15
10 43 16
10 44 48
10 45 19
10 46 33
10 47 67
10 48 54
10 49 -78
10 50 -87
10 51 -91
10 52 -100
10 53 5
10 54 -34
10 55 31
10 56 -67
10 57 25
10 58 37
10 59 -15
10 60 -100
10 61 45
10 62 90
10 63 20
10 64 -96
10 65 42
10 66 14
10 67 -61
10 68 -67
10 69 -90
11 1 -31
11 2 -34
11 3 55
11 4 57
11 5 10
11 6 -92
11 7 -21
11 8 47
11 9 69
11 10 -66
11 11 -22
11 12 -18
11 13 -17
11 14 55
11 15 -81
11 16 -3
11 17 -14
11 18 91
11 19 -63
11 20 27
11 21 11
11 22 67
11 23 -14
11 24 -2
11 25 -13
11 26 30
11 27 84
11 28 6
11 29 -37
11 30 -84
11 31 75
11 32 42
11 33 11
11 34 -39
11 35 -34
11 36 -39
11 37 10
11 38 34
11 39 -92
11 40 -23
11 41 -19
11 42 67
11 43 -39
11 44 2
11 45 0
11 46 2
11 47 53
11 48 27
11 49 25
11 50 36
11 51 35
11 52 39
11 53 -30
11 54 -55
11 55 37
11 56 37
11 57 -7
11 58 -94
11 59 -71
11 60 -86
11 61 52
11 62 -57
11 63 -24
11 64 36
11 65 -93
11 66 -67
11 67 -8
11 68 18
11 69 100
12 1 15
12 2 5
12 3 -39
12 4 -14
12 5 20
12 6 53
12 7 9
12 8 -1