![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/janw/rxh3/rxh3-20070822-135609.fits
Reduced on 20070828-144101 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
![[rasterrow7.gif]](rasterrow7.gif)
Row plot 7
![[rasterrow14.gif]](rasterrow14.gif)
Row plot 14
![[rasterrow22.gif]](rasterrow22.gif)
Row plot 22
![[rasterrow29.gif]](rasterrow29.gif)
Row plot 29
![[rasterrow36.gif]](rasterrow36.gif)
Row plot 36
![[rasterrow44.gif]](rasterrow44.gif)
Row plot 44
![[rasterrow51.gif]](rasterrow51.gif)
Row plot 51
![[rasterrow58.gif]](rasterrow58.gif)
Row plot 58
![[rasterrow66.gif]](rasterrow66.gif)
Row plot 66
![[rasterrow73.gif]](rasterrow73.gif)
Row plot 73
![[rasterrow80.gif]](rasterrow80.gif)
Row plot 80
![[rasterrow88.gif]](rasterrow88.gif)
Row plot 88
![[rasterrow95.gif]](rasterrow95.gif)
Row plot 95
![[rasterrow102.gif]](rasterrow102.gif)
Row plot 102
![[rasterrow110.gif]](rasterrow110.gif)
Row plot 110
![[rasterrow117.gif]](rasterrow117.gif)
Row plot 117
![[rasterrow124.gif]](rasterrow124.gif)
Row plot 124
| ::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 | rxh3-20070822-135609.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 12.1 |
| data.pointing_offset_y | 12.8 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 3.038 |
| 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 | 0.034037999999999999 |
| 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: 20070828-144101
Reading data from /net/moana/export/data/janw/janw/rxh3/rxh3-20070822-135609.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 = 2403.3 max = 2427.9 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 34.038 mm
----------------- Data Summary ---------------------
Number of samples: 370025
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 -3.22266 3.24463 0.01927
loimag -3.40332 3.23242 -0.03020
hireal -5.00000 4.99756 0.62066
hiimag -5.00000 4.99756 -0.23002
xpos -2427.85551 2420.94652 -7.05706
ypos -2403.33889 2403.30102 0.00223
plock160 1.35742 2.97363 1.95117
lorefpwr 0.46631 1.60645 1.23224
losigpwr -4.56543 0.02441 -4.39514
hirefpwr 0.52734 1.66504 1.28184
hisigpwr -4.47021 4.99756 -0.69407
encltemp 32.22656 34.98535 32.82008
flags 0.00000 256.00000 2.76739
phi-lock -1.00098 0.90820 -0.49444
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.99477 1473.09630
zeropt 0.18066 1.22803 0.32484
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 129 rows
There are 121 data rows and 8 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 128
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00654 arcsec
Mean row spacing = 40.00656 arcsec (alternate estimator)
Mean tracking incline = -0.05620 arcsec
Mean pointing range = 0.72660 arcsec
Mean pointing rms = 0.13741 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (12.1, 12.8 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 2 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22681 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22681 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 = 2427.86 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 = 3.43943 at (-40.010952902519172, 0.0) arcsec
Real: mean = -0.000455235 sum of squares = 1814.04
Imag: mean = -0.00310961 sum of squares = 1807.57
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 = 3.60427 at (0.0, 0.0) arcsec
Real: mean = 0.000368826 sum of squares = 3120.44
Imag: mean = -0.00286508 sum of squares = 3011.81
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 = 3.67041 at (0.0, 0.0) arcsec
Real: mean = 0.000627381 sum of squares = 3205.52
Imag: mean = -0.00281797 sum of squares = 3017.95
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 = 3.73586 at (0.0, 0.0) arcsec
Real: mean = 0.000914995 sum of squares = 3159.57
Imag: mean = -0.00248298 sum of squares = 2925.97
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 = 3.72373 at (0.0, -40.007965152457999) arcsec
Real: mean = 0.00103404 sum of squares = 2969.07
Imag: mean = -0.00200112 sum of squares = 2843.77
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 = 3.6955 at (0.0, -40.00746723749549) arcsec
Real: mean = 0.00091958 sum of squares = 2788.52
Imag: mean = -0.0020187 sum of squares = 2756.13
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 = 3.64023 at (0.0, -40.006969334926325) arcsec
Real: mean = 0.000789994 sum of squares = 2664.25
Imag: mean = -0.00183955 sum of squares = 2723.06
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 = 3.47404 at (0.0, -40.005973566966176) arcsec
Real: mean = 0.000437836 sum of squares = 2535.2
Imag: mean = -0.00148749 sum of squares = 2718.57
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 = 3.45672 at (40.004977848573851, -40.004977848573851) arcsec
Real: mean = -9.50232e-05 sum of squares = 2409.87
Imag: mean = -0.00130916 sum of squares = 2579.08
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 = 3.40813 at (40.004480007964467, -40.004480007964467) arcsec
Real: mean = -0.000417137 sum of squares = 2320.89
Imag: mean = -0.00136128 sum of squares = 2431.29
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 = 3.35552 at (40.003982179745641, -40.003982179745641) arcsec
Real: mean = -0.0006416 sum of squares = 2286.82
Imag: mean = -0.00138991 sum of squares = 2318.92
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 = 3.22048 at (40.002986560477851, -40.002986560477851) arcsec
Real: mean = -0.00130555 sum of squares = 2297.97
Imag: mean = -0.00164541 sum of squares = 2168.96
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 = 3.06224 at (80.003981981533585, 0.0) arcsec
Real: mean = -0.00190607 sum of squares = 2205.43
Imag: mean = -0.00239589 sum of squares = 2011.01
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 = 3.02089 at (80.002986448987727, 0.0) arcsec
Real: mean = -0.00209849 sum of squares = 2078.67
Imag: mean = -0.00278616 sum of squares = 1908.58
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 = 2.97913 at (-40.000995470608736, 0.0) arcsec
Real: mean = -0.00215725 sum of squares = 1985.18
Imag: mean = -0.0034125 sum of squares = 1872.65
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 = 3.14284 at (-40.0, 0.0) arcsec
Real: mean = -0.00194743 sum of squares = 1840.82
Imag: mean = -0.00405607 sum of squares = 1905.62
Masking frequency index 0
Mask scale size = 3.06014
Masking frequency index 1
Mask scale size = 3.06018
Masking frequency index 2
Mask scale size = 3.06022
Masking frequency index 3
Mask scale size = 3.0603
Masking frequency index 4
Mask scale size = 3.06037
Masking frequency index 5
Mask scale size = 3.06041
Masking frequency index 6
Mask scale size = 3.06045
Masking frequency index 7
Mask scale size = 3.06052
Masking frequency index 8
Mask scale size = 3.0606
Masking frequency index 9
Mask scale size = 3.06064
Masking frequency index 10
Mask scale size = 3.06068
Masking frequency index 11
Mask scale size = 3.06075
Masking frequency index 12
Mask scale size = 3.06083
Masking frequency index 13
Mask scale size = 3.06087
Masking frequency index 14
Mask scale size = 3.06091
Masking frequency index 15
Mask scale size = 3.06098
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.166016
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 1.19385
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.166016
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 1.64307
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0146484
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.9345 100.52
Freq 1: Shift, scale = -2.1662 101.48
Freq 2: Shift, scale = -2.3876 102.81
Freq 3: Shift, scale = -2.826 105.21
Freq 4: Shift, scale = 3.0234 106.94
Freq 5: Shift, scale = 2.8077 107.34
Freq 6: Shift, scale = 2.592 107.62
Freq 7: Shift, scale = 2.1711 107.59
Freq 8: Shift, scale = 1.7435 106.3
Freq 9: Shift, scale = 1.5313 105.39
Freq 10: Shift, scale = 1.3186 104.41
Freq 11: Shift, scale = 0.89244 102.26
Freq 12: Shift, scale = 0.45809 100.48
Freq 13: Shift, scale = 0.23842 99.936
Freq 14: Shift, scale = 0.019107 99.309
Freq 15: Shift, scale = -0.42573 98.967
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 1
piston: -1.04 radians
x offset: 17.3 arcsec
y offset: 1.53 arcsec
defocus: -0.564 mm
Estimated x pointing error is 29.37 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.33 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.474 mm (used 3.038 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 1
Minimiser fit code = 1
piston: -1.43 radians
x offset: 25.8 arcsec
y offset: 2.04 arcsec
defocus: -0.894 mm
Estimated x pointing error is 37.93 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.84 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.144 mm (used 3.038 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 2
Minimiser fit code = 1
piston: 0.621 radians
x offset: -18.5 arcsec
y offset: -1.47 arcsec
defocus: 0.889 mm
Estimated x pointing error is -6.367 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 11.33 arcsec (used 12.8 arcsec)
Estimated defocus error is 3.927 mm (used 3.038 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 3
Minimiser fit code = 1
piston: 0.406 radians
x offset: -13.9 arcsec
y offset: -1.06 arcsec
defocus: 0.704 mm
Estimated x pointing error is -1.814 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 11.74 arcsec (used 12.8 arcsec)
Estimated defocus error is 3.742 mm (used 3.038 mm)
!!!Warning!!! Defocus error > 0.5 mm
Fitting frequency 4
Minimiser fit code = 1
piston: 0.188 radians
x offset: -9.92 arcsec
y offset: -0.78 arcsec
defocus: 0.487 mm
Estimated x pointing error is 2.176 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 12.02 arcsec (used 12.8 arcsec)
Estimated defocus error is 3.525 mm (used 3.038 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: 0.0818 radians
x offset: -7.6 arcsec
y offset: -0.58 arcsec
defocus: 0.382 mm
Estimated x pointing error is 4.5 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 12.22 arcsec (used 12.8 arcsec)
Estimated defocus error is 3.42 mm (used 3.038 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.0136 radians
x offset: -5.57 arcsec
y offset: -0.348 arcsec
defocus: 0.293 mm
Estimated x pointing error is 6.526 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 12.45 arcsec (used 12.8 arcsec)
Estimated defocus error is 3.331 mm (used 3.038 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.179 radians
x offset: -1.91 arcsec
y offset: -0.0656 arcsec
defocus: 0.124 mm
Estimated x pointing error is 10.19 arcsec (used 12.1 arcsec)
Estimated y pointing error is 12.73 arcsec (used 12.8 arcsec)
Estimated defocus error is 3.162 mm (used 3.038 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.286 radians
x offset: 0.00347 arcsec
y offset: -0.0261 arcsec
defocus: 0.00014 mm
Estimated x pointing error is 12.1 arcsec (used 12.1 arcsec)
Estimated y pointing error is 12.77 arcsec (used 12.8 arcsec)
Estimated defocus error is 3.038 mm (used 3.038 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.361 radians
x offset: 1.85 arcsec
y offset: 0.126 arcsec
defocus: -0.0673 mm
Estimated x pointing error is 13.95 arcsec (used 12.1 arcsec)
Estimated y pointing error is 12.93 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.971 mm (used 3.038 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.432 radians
x offset: 3.6 arcsec
y offset: 0.27 arcsec
defocus: -0.133 mm
Estimated x pointing error is 15.7 arcsec (used 12.1 arcsec)
Estimated y pointing error is 13.07 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.905 mm (used 3.038 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.371 radians
x offset: 2.34 arcsec
y offset: 0.565 arcsec
defocus: -0.0973 mm
Estimated x pointing error is 14.44 arcsec (used 12.1 arcsec)
Estimated y pointing error is 13.36 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.941 mm (used 3.038 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.49 radians
x offset: 5.2 arcsec
y offset: 0.713 arcsec
defocus: -0.196 mm
Estimated x pointing error is 17.3 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 13.51 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.842 mm (used 3.038 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.523 radians
x offset: 6.14 arcsec
y offset: 0.822 arcsec
defocus: -0.214 mm
Estimated x pointing error is 18.24 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 13.62 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.824 mm (used 3.038 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.588 radians
x offset: 7.33 arcsec
y offset: 0.909 arcsec
defocus: -0.278 mm
Estimated x pointing error is 19.43 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 13.71 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.76 mm (used 3.038 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.621 radians
x offset: 8.6 arcsec
y offset: 0.882 arcsec
defocus: -0.274 mm
Estimated x pointing error is 20.7 arcsec (used 12.1 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 13.68 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.764 mm (used 3.038 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 0.11270 piston
1 1 0.54795 tilt_x
1 -1 -0.07621 tilt_y
2 2 -0.42183 astigmatism_0
2 0 -0.01546 curvature
2 -2 0.07588 astigmatism45
3 3 -0.41456 trefoil_0
3 1 0.90648 coma_x
3 -1 -0.07048 coma_y
3 -3 0.00860 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 0.21940 piston
1 1 0.94821 tilt_x
1 -1 -0.12302 tilt_y
2 2 -0.63340 astigmatism_0
2 0 -0.10540 curvature
2 -2 0.07551 astigmatism45
3 3 -0.63001 trefoil_0
3 1 1.30114 coma_x
3 -1 -0.09601 coma_y
3 -3 0.02010 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 -0.24965 piston
1 1 -1.08029 tilt_x
1 -1 0.15121 tilt_y
2 2 0.80506 astigmatism_0
2 0 0.15291 curvature
2 -2 -0.00987 astigmatism45
3 3 0.58760 trefoil_0
3 1 -1.49246 coma_x
3 -1 0.12882 coma_y
3 -3 -0.13867 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 -0.20087 piston
1 1 -0.87245 tilt_x
1 -1 0.11842 tilt_y
2 2 0.65882 astigmatism_0
2 0 0.12322 curvature
2 -2 0.00509 astigmatism45
3 3 0.47184 trefoil_0
3 1 -1.21323 coma_x
3 -1 0.09576 coma_y
3 -3 -0.11586 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 -0.15570 piston
1 1 -0.67152 tilt_x
1 -1 0.09381 tilt_y
2 2 0.54148 astigmatism_0
2 0 0.08977 curvature
2 -2 0.00877 astigmatism45
3 3 0.38738 trefoil_0
3 1 -0.93179 coma_x
3 -1 0.07546 coma_y
3 -3 -0.11013 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 -0.13314 piston
1 1 -0.57790 tilt_x
1 -1 0.07998 tilt_y
2 2 0.48479 astigmatism_0
2 0 0.07575 curvature
2 -2 0.01756 astigmatism45
3 3 0.31199 trefoil_0
3 1 -0.81363 coma_x
3 -1 0.06161 coma_y
3 -3 -0.10084 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 -0.11094 piston
1 1 -0.48194 tilt_x
1 -1 0.06625 tilt_y
2 2 0.41740 astigmatism_0
2 0 0.06238 curvature
2 -2 0.03071 astigmatism45
3 3 0.25590 trefoil_0
3 1 -0.68366 coma_x
3 -1 0.04814 coma_y
3 -3 -0.08621 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 -0.07266 piston
1 1 -0.30737 tilt_x
1 -1 0.04464 tilt_y
2 2 0.30138 astigmatism_0
2 0 0.04023 curvature
2 -2 0.03624 astigmatism45
3 3 0.16757 trefoil_0
3 1 -0.43213 coma_x
3 -1 0.02937 coma_y
3 -3 -0.07671 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 -0.05090 piston
1 1 -0.20270 tilt_x
1 -1 0.03666 tilt_y
2 2 0.24952 astigmatism_0
2 0 0.02525 curvature
2 -2 0.02458 astigmatism45
3 3 0.13596 trefoil_0
3 1 -0.27320 coma_x
3 -1 0.03103 coma_y
3 -3 -0.08801 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 -0.03169 piston
1 1 -0.12006 tilt_x
1 -1 0.02582 tilt_y
2 2 0.18440 astigmatism_0
2 0 0.01647 curvature
2 -2 0.02828 astigmatism45
3 3 0.08331 trefoil_0
3 1 -0.15693 coma_x
3 -1 0.02316 coma_y
3 -3 -0.07974 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 -0.01389 piston
1 1 -0.04107 tilt_x
1 -1 0.01592 tilt_y
2 2 0.12294 astigmatism_0
2 0 0.00926 curvature
2 -2 0.03111 astigmatism45
3 3 0.03516 trefoil_0
3 1 -0.04062 coma_x
3 -1 0.01657 coma_y
3 -3 -0.07320 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 -0.02504 piston
1 1 -0.09167 tilt_x
1 -1 0.00938 tilt_y
2 2 0.17127 astigmatism_0
2 0 0.01279 curvature
2 -2 0.07241 astigmatism45
3 3 0.08439 trefoil_0
3 1 -0.11519 coma_x
3 -1 -0.01779 coma_y
3 -3 -0.02735 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 0.00323 piston
1 1 0.03449 tilt_x
1 -1 -0.00269 tilt_y
2 2 0.06299 astigmatism_0
2 0 0.00356 curvature
2 -2 0.06531 astigmatism45
3 3 -0.00918 trefoil_0
3 1 0.07333 coma_x
3 -1 -0.01531 coma_y
3 -3 -0.02843 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 0.01183 piston
1 1 0.07191 tilt_x
1 -1 -0.00988 tilt_y
2 2 0.02342 astigmatism_0
2 0 0.00237 curvature
2 -2 0.07077 astigmatism45
3 3 -0.04364 trefoil_0
3 1 0.12931 coma_x
3 -1 -0.02368 coma_y
3 -3 -0.01976 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 0.02332 piston
1 1 0.13308 tilt_x
1 -1 -0.01790 tilt_y
2 2 -0.01345 astigmatism_0
2 0 -0.00126 curvature
2 -2 0.06938 astigmatism45
3 3 -0.06950 trefoil_0
3 1 0.23498 coma_x
3 -1 -0.03160 coma_y
3 -3 -0.01900 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 0.03410 piston
1 1 0.17877 tilt_x
1 -1 -0.02072 tilt_y
2 2 -0.07655 astigmatism_0
2 0 -0.00006 curvature
2 -2 0.05800 astigmatism45
3 3 -0.12732 trefoil_0
3 1 0.30166 coma_x
3 -1 -0.02157 coma_y
3 -3 -0.02635 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: 53.6 73.9 97 130 139 143 168 143
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 97.8 161 207 228 212 169 147 190
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 52.1 96.4 118 115 90.3 82.5 165 118
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 69.3 106 144 195 212 232 266 225
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 135 234 301 334 319 262 216 281
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 74.8 138 169 166 132 123 242 172
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 51.8 97.1 137 189 214 253 293 243
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 122 247 315 349 331 274 214 293
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 85.9 159 195 192 152 142 276 199
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 43.7 104 119 159 177 206 241 201
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 98.8 204 257 287 270 221 178 240
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 69.8 129 158 156 124 115 224 161
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.5 89.1 95.9 138 147 165 196 163
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 75.1 156 200 230 215 177 148 191
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 53.6 99.3 122 120 97.6 94.3 178 127
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.1 75.6 88.9 126 128 141 170 142
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 64.1 132 172 204 186 151 131 166
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 46.8 86.7 106 105 85.5 82.4 155 111
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.1 63.5 81.9 119 114 122 148 125
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 54.2 110 145 179 160 129 116 143
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 39.3 72.8 89.5 88.6 72.3 70.2 131 93.8
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.7 56.3 63.2 109 95.2 88.4 111 97.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 42.5 77.6 96.8 140 115 91.2 94.5 106
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.9 46.1 56.8 56.9 48.3 49.7 88.4 62.5
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 43.5 52.5 54.6 109 80.1 72.9 95.8 85.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 44.8 61.8 71.7 120 89.2 73.2 87 88.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 15.8 29.4 36.6 37.8 35.5 41 66.7 46
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 46.6 50.4 52.7 104 73.4 61.6 83.7 77.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 46.2 52.5 58.1 108 75 59.1 80.2 77.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 9.14 17.1 21.6 23.2 24.1 29.9 46 31.1
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 49.3 49.3 52.5 103 68.2 56.4 76.7 73.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 49 49 52.1 103 66.2 52.7 74.9 71.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.6 5.21 7.5 10.3 14.4 20.2 28.4 18.6
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 51.5 45.9 52.1 93.8 71 60.2 77.5 72.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 51.2 47 55.4 94.2 71.8 58.2 75.6 71.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 6.75 12.8 16.5 19 21.8 28.4 41.4 27.8
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 52.1 46.7 56.2 90.7 71.2 54.2 76.6 70.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 53 49.1 58.5 92.2 71.2 52 75.8 71
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.31 8.09 10.3 11.1 11.3 13.5 20.4 14.1
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 50 46.4 58.1 90.4 75.9 55.7 78.7 72.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 52.2 53 64.4 95.1 78.4 55.4 77.5 74.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 7.54 14 17.2 16.9 13.6 12.6 24.1 17.3
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 47 51.4 62.3 91.4 78.4 59.8 80.8 75.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 52.6 66 77.6 105 88.1 61 77.4 81.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 13.6 25.1 30.6 29.5 21.3 15 37.2 27.4
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 38.9 51.6 66.1 90.1 81.8 65.3 88.5 79.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 50.7 75.2 91.6 109 99.2 70.5 83.6 90.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 17.3 32 39.1 37.7 28 22.4 50.5 36.6
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 29.5 28.6 30.8 39.4 42.2 53.2 62.9 51.6
Mean deviation is -16.052018913208528 microns
Taper = 10 dB, Ruze illumination-weighted rms = 49.8 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 = 41.1 micron
Centre pixel: 64.0 64.0 Value = 1980.61 (estimate), 3708.08 (perfect)
Strehl = 0.285298
Strehl ratio estimate = 0.3021
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 = 37.6 micron
Centre pixel: 64.0 64.0 Value = 1356.5 (estimate), 3708.08 (perfect)
Strehl = 0.133827
Strehl ratio estimate = 0.1599
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 25.2 -1.5 -15.0 29.4
2 1 2 53.9 -11.9 9.3 56.0
3 1 3 89.4 -44.0 -53.1 112.9
4 1 4 83.0 16.0 2.5 84.5
5 1 5 51.2 -11.9 24.2 57.8
6 1 6 58.4 17.4 20.8 64.4
7 1 7 8.7 26.7 -1.9 28.2
8 1 8 7.3 16.2 11.8 21.3
9 1 9 -13.8 -9.9 -10.5 20.0
10 1 10 49.0 -3.1 -4.4 49.3
11 1 11 60.0 33.1 13.2 69.8
12 1 12 55.2 -8.5 -0.2 55.9
13 2 1 -0.3 -76.3 -61.0 97.7
14 2 2 -2.4 -59.3 -56.5 81.9
15 2 3 13.0 -60.1 -75.8 97.6
16 2 4 8.4 -55.3 -54.6 78.2
17 2 5 20.9 -59.3 -35.0 72.0
18 2 6 34.0 -58.9 9.8 68.8
19 2 7 -17.2 -60.1 -32.0 70.2
20 2 8 29.2 -54.0 -61.6 87.0
21 2 9 13.3 -52.9 -37.0 65.9
22 2 10 5.6 -38.2 -8.3 39.5
23 2 11 8.5 -48.2 -33.7 59.4
24 2 12 0.5 -41.2 -44.0 60.3
25 2 13 13.9 -10.8 -32.0 36.5
26 2 14 -4.6 -52.7 -22.4 57.5
27 2 15 23.6 -38.9 -71.6 84.9
28 2 16 4.3 -24.3 -36.6 44.1
29 2 17 -8.5 -29.4 -30.7 43.3
30 2 18 9.0 -22.9 -50.3 56.0
31 2 19 -26.4 -31.3 -38.8 56.4
32 2 20 7.4 -39.6 -32.3 51.6
33 2 21 13.1 -9.3 -57.2 59.4
34 2 22 2.8 -81.1 -85.0 117.5
35 2 23 40.1 -61.3 -64.3 97.5
36 2 24 -1.4 -66.7 -72.6 98.6
37 3 1 -38.8 -50.2 -54.4 83.6
38 3 2 -41.7 -45.4 -70.4 93.5
39 3 3 -37.7 -43.9 -70.6 91.2
40 3 4 -19.8 -50.3 -44.3 69.9
41 3 5 -42.2 -39.7 -71.6 92.1
42 3 6 -52.5 -37.1 -62.1 89.3
43 3 7 -44.3 -40.2 -74.0 95.1
44 3 8 -47.8 -60.0 -42.0 87.5
45 3 9 -24.3 -70.1 -79.0 108.4
46 3 10 -26.5 -44.8 -68.4 85.9
47 3 11 -18.7 -50.8 -84.3 100.2
48 3 12 229.3 -251.9 83.6 350.7
49 3 13 -140.1 26.4 -46.7 150.1
50 3 14 -25.8 -45.1 -80.4 95.7
51 3 15 -44.7 -41.9 -60.8 86.3
52 3 16 -34.0 -49.7 -78.8 99.2
53 3 17 -12.0 -49.7 -63.8 81.8
54 3 18 -18.0 -32.0 -55.6 66.6
55 3 19 -13.2 -30.4 -73.4 80.6
56 3 20 -63.2 -34.6 -48.2 86.8
57 3 21 -39.9 -46.0 -55.0 82.1
58 3 22 -21.4 -26.5 -38.8 51.6
59 3 23 -26.0 -24.9 -49.8 61.5
60 3 24 -15.3 -32.9 -39.0 53.2
61 3 25 -32.7 -37.3 -47.6 68.8
62 3 26 -45.8 -40.2 -37.3 71.5
63 3 27 -56.5 -44.7 -63.8 96.3
64 3 28 -33.7 -42.7 -65.6 85.3
65 3 29 -51.4 -49.3 -31.4 77.8
66 3 30 -45.0 -46.1 -53.9 84.0
67 3 31 -46.0 -31.3 -49.2 74.3
68 3 32 -43.4 -31.5 -38.6 66.1
69 3 33 -18.4 -25.4 -1.7 31.4
70 3 34 -9.3 -6.3 4.2 12.0
71 3 35 -16.6 -8.0 -35.2 39.8
72 3 36 6.4 -21.9 -14.4 26.9
73 3 37 -30.8 -34.3 -75.9 88.8
74 3 38 -26.8 -9.8 -34.4 44.7
75 3 39 -19.4 -22.9 -38.1 48.5
76 3 40 -21.0 -20.2 -50.8 58.6
77 3 41 -25.1 -18.7 -21.9 38.2
78 3 42 -12.9 -22.6 -29.0 39.0
79 3 43 -47.8 -24.9 -52.0 74.9
80 3 44 -18.1 -47.5 -34.9 61.7
81 3 45 -34.1 -51.0 -84.4 104.3
82 3 46 -51.9 -61.9 -77.4 111.9
83 3 47 -84.7 -67.9 -80.9 135.4
84 3 48 -56.8 -64.2 -106.0 136.3
85 4 1 -59.5 -77.3 -36.1 104.0
86 4 2 -44.0 -73.0 -113.7 142.1
87 4 3 -53.2 -61.1 -76.3 111.3
88 4 4 -50.8 -57.1 -111.9 135.5
89 4 5 -50.3 -56.9 -88.0 116.3
90 4 6 -48.3 -65.3 -84.6 117.2
91 4 7 -47.3 -73.9 -66.3 110.0
92 4 8 -100.4 -23.1 -90.9 137.4
93 4 9 -46.3 -38.1 -6.3 60.2
94 4 10 -88.8 -40.5 -92.4 134.4
95 4 11 -10.7 -74.3 -110.8 133.8
96 4 12 -47.9 98.5 -93.4 143.9
97 4 13 51.8 -85.5 69.4 121.7
98 4 14 -72.8 -18.2 -125.3 146.0
99 4 15 -50.2 -74.6 -34.0 96.1
100 4 16 -77.1 -40.2 -20.7 89.3
101 4 17 -66.7 -59.5 -75.4 116.9
102 4 18 -35.5 -60.1 -24.2 73.9
103 4 19 -62.5 -65.0 -63.5 110.3
104 4 20 -33.5 -48.6 -89.7 107.4
105 4 21 -59.4 -60.6 -57.2 102.4
106 4 22 -106.4 -55.5 57.2 133.0
107 4 23 -70.9 -63.8 -39.0 103.1
108 4 24 -78.4 -47.6 -20.2 94.0
109 4 25 -94.7 -42.9 -11.2 104.6
110 4 26 -49.0 -65.2 -79.3 113.7
111 4 27 -53.9 -39.6 -31.0 73.8
112 4 28 -57.2 -54.1 -42.1 89.2
113 4 29 -70.2 -37.9 -97.9 126.3
114 4 30 -53.8 -41.4 -20.3 70.9
115 4 31 -61.6 -31.6 -19.8 72.0
116 4 32 -56.1 -15.3 -22.5 62.3
117 4 33 -50.8 -3.2 -5.5 51.2
118 4 34 -14.3 2.9 -6.7 16.0
119 4 35 -0.1 12.4 -29.6 32.1
120 4 36 -37.8 6.9 -0.6 38.4
121 4 37 -19.4 22.2 -15.9 33.5
122 4 38 -17.2 -4.5 -52.4 55.3
123 4 39 -28.5 3.4 -5.8 29.3
124 4 40 -7.7 2.5 -30.5 31.6
125 4 41 -39.5 27.8 -47.1 67.5
126 4 42 -31.7 -9.9 -54.8 64.1
127 4 43 -61.0 -19.7 -61.9 89.1
128 4 44 -46.1 -24.1 -50.6 72.6
129 4 45 -30.6 -29.4 -67.7 79.9
130 4 46 -48.2 -60.7 -71.9 105.8
131 4 47 -57.5 -65.5 -76.3 115.9
132 4 48 -70.5 -75.9 -70.1 125.1
133 5 1 -24.4 -45.8 -58.7 78.4
134 5 2 -56.6 -48.1 -56.5 93.3
135 5 3 -36.2 -50.7 -71.6 94.9
136 5 4 -50.8 -60.7 -63.0 101.1
137 5 5 -54.1 -55.9 -97.0 124.3
138 5 6 -63.4 -69.2 -75.1 120.2
139 5 7 -25.1 -39.5 -23.3 52.3
140 5 8 -56.3 -28.3 -82.2 103.6
141 5 9 -21.9 -48.9 -26.7 59.9
142 5 10 -48.7 -37.4 -69.6 92.9
143 5 11 -35.3 -25.2 -27.3 51.2
144 5 12 -29.2 -6.2 -75.6 81.3
145 5 13 -28.2 -5.0 -55.5 62.5
146 5 14 -26.5 -22.0 -50.4 61.1
147 5 15 -27.2 -52.2 -65.5 88.1
148 5 16 -34.4 -21.7 -39.6 56.8
149 5 17 -47.5 -13.0 -1.5 49.2
150 5 18 -19.7 -44.8 81.1 94.7
151 5 19 -103.8 -50.7 -77.5 139.1
152 5 20 -83.9 -65.7 -72.2 128.7
153 5 21 -29.1 -53.1 -62.7 87.1
154 5 22 -58.9 -44.0 -77.5 106.8
155 5 23 -60.9 -46.4 1.5 76.6
156 5 24 -16.7 -28.5 11.2 34.9
157 5 25 -17.0 -25.4 -24.0 38.8
158 5 26 -59.3 -37.5 -17.8 72.4
159 5 27 -51.2 -49.1 -85.4 111.0
160 5 28 -45.6 -26.1 -34.7 63.0
161 5 29 -16.2 -29.8 -49.4 59.9
162 5 30 -30.8 -30.6 27.7 51.5
163 5 31 -28.3 -24.1 -23.0 43.7
164 5 32 -31.0 14.8 15.8 37.8
165 5 33 11.3 45.5 42.1 63.0
166 5 34 5.0 25.5 8.4 27.3
167 5 35 19.9 63.6 69.0 95.9
168 5 36 8.7 49.4 63.3 80.8
169 5 37 13.6 67.4 26.4 73.7
170 5 38 -10.1 39.1 37.7 55.3
171 5 39 4.3 70.1 28.0 75.6
172 5 40 -21.5 32.2 19.2 43.2
173 5 41 21.3 57.5 59.5 85.5
174 5 42 -26.6 19.5 9.1 34.2
175 5 43 -10.6 18.5 -19.6 29.0
176 5 44 -3.4 -2.9 -13.0 13.7
177 5 45 -16.9 6.3 -30.3 35.2
178 5 46 -24.7 -41.0 -33.8 58.6
179 5 47 -58.0 -46.7 -19.9 77.1
180 5 48 -44.1 -28.3 -54.5 75.6
181 6 1 -66.7 -50.1 -65.1 105.8
182 6 2 -64.2 -72.7 -84.8 128.8
183 6 3 -93.9 -70.6 -109.6 160.7
184 6 4 -85.3 -71.4 -167.0 200.6
185 6 5 -48.3 -96.0 -74.7 130.8
186 6 6 -72.5 -61.1 -133.3 163.5
187 6 7 -58.3 -71.6 -81.5 123.1
188 6 8 -56.8 -29.9 -55.5 84.9
189 6 9 -58.3 -42.9 -85.0 111.6
190 6 10 -85.2 -14.9 -49.3 99.6
191 6 11 -6.0 -24.9 -28.9 38.6
192 6 12 -72.7 35.2 -35.1 88.1
193 6 13 -28.6 -31.3 -65.1 77.7
194 6 14 -34.0 -40.4 -76.8 93.2
195 6 15 -60.4 -47.2 -81.9 112.2
196 6 16 -52.8 -21.2 -106.5 120.7
197 6 17 -45.3 -53.4 -88.5 112.8
198 6 18 -32.4 -41.6 -264.8 270.0
199 6 19 6.8 -61.1 -71.2 94.1
200 6 20 -77.3 -23.7 -40.2 90.3
201 6 21 -93.7 -54.4 -81.4 135.5
202 6 22 -41.4 48.5 -39.4 75.0
203 6 23 1.3 -38.2 19.1 42.8
204 6 24 -22.7 -5.4 -3.7 23.6
205 6 25 -57.3 -7.3 -29.0 64.6
206 6 26 -24.2 -39.3 -15.0 48.5
207 6 27 -76.3 -20.5 -27.1 83.5
208 6 28 -66.0 -20.4 -66.1 95.6
209 6 29 -77.4 24.8 9.4 81.8
210 6 30 -31.7 25.4 85.0 94.2
211 6 31 -7.4 18.9 39.4 44.3
212 6 32 -21.0 16.0 62.5 67.8
213 6 33 7.4 66.2 -6.0 66.9
214 6 34 -26.7 82.7 55.8 103.3
215 6 35 61.8 74.2 107.7 144.7
216 6 36 67.2 110.9 114.8 173.2
217 6 37 28.4 80.2 86.8 121.5
218 6 38 46.7 42.4 45.3 77.6
219 6 39 14.3 67.4 41.3 80.3
220 6 40 31.5 72.6 -2.5 79.2
221 6 41 44.3 80.7 40.9 100.7
222 6 42 76.6 48.2 24.8 93.9
223 6 43 36.2 40.1 69.4 87.9
224 6 44 25.1 27.6 43.8 57.5
225 6 45 -8.9 50.5 -67.1 84.4
226 6 46 -65.2 12.5 -11.3 67.3
227 6 47 -47.3 -19.7 -18.7 54.5
228 6 48 -38.9 -46.9 -33.0 69.3
229 7 1 -60.8 11.8 -54.4 82.5
230 7 2 -64.3 -50.5 -77.7 112.8
231 7 3 -91.8 -51.6 -78.4 131.3
232 7 4 -62.4 -139.9 -30.5 156.2
233 7 5 -77.5 -58.8 -85.4 129.5
234 7 6 -102.8 -53.6 -121.6 168.0
235 7 7 -54.0 -65.8 -83.1 119.0
236 7 8 -20.7 -40.6 -88.1 99.2
237 7 9 5.3 -110.7 -33.1 115.7
238 7 10 -29.2 0.0 -64.2 70.5
239 7 11 0.1 -13.4 -18.1 22.5
240 7 12 11.1 -41.5 25.3 49.9
241 7 13 -64.4 17.2 0.4 66.6
242 7 14 -21.5 -3.5 2.1 21.8
243 7 15 -37.8 -52.9 -47.4 80.4
244 7 16 -26.0 -116.9 -38.8 125.9
245 7 17 -28.8 -64.6 -66.7 97.2
246 7 18 -80.8 -3.6 -98.3 127.3
247 7 19 -29.9 -59.7 -17.0 68.9
248 7 20 -14.5 -49.7 -53.6 74.5
249 7 21 -12.5 -108.4 18.0 110.6
250 7 22 -60.0 4.7 -0.4 60.2
251 7 23 49.7 -16.9 61.0 80.5
252 7 24 -19.0 60.4 99.8 118.2
253 7 25 60.5 58.9 95.4 127.4
254 7 26 -17.9 36.0 67.8 78.8
255 7 27 -41.6 13.6 49.8 66.3
256 7 28 -40.4 -102.4 368.4 384.5
257 7 29 60.7 -20.6 54.6 84.2
258 7 30 12.9 21.5 26.0 36.1
259 7 31 4.8 34.7 46.7 58.3
260 7 32 42.3 51.3 37.8 76.5
261 7 33 41.3 2.6 88.8 97.9
262 7 34 79.4 124.4 90.5 173.1
263 7 35 99.4 115.3 134.4 203.1
264 7 36 63.2 125.2 127.8 189.7
265 7 37 68.8 134.2 108.9 186.0
266 7 38 40.6 75.5 41.7 95.3
267 7 39 72.6 122.1 47.0 149.7
268 7 40 114.0 42.1 122.9 172.9
269 7 41 96.6 87.5 85.1 155.7
270 7 42 72.1 71.8 89.9 135.8
271 7 43 19.4 106.2 53.4 120.5
272 7 44 74.2 58.7 78.5 122.9
273 7 45 19.5 0.6 61.6 64.6
274 7 46 46.7 23.0 37.1 63.9
275 7 47 -6.2 42.3 -47.9 64.3
276 7 48 -13.6 131.2 0.6 131.9
Creating sector-motor-move file
sector motor steps
1 1 -9
1 2 -42
1 3 -19
1 4 -51
1 5 -21
1 6 -26
1 7 -24
1 8 -15
1 9 -28
1 10 -33
1 11 -21
1 12 -28
1 13 -23
1 14 -15
1 15 -19
1 16 -26
1 17 -22
1 18 -19
1 19 -16
1 20 3
1 21 -18
1 22 -19
1 23 -15
1 24 -20
1 25 -19
1 26 -18
1 27 -15
1 28 -34
1 29 -17
1 30 -15
1 31 -21
1 32 -15
1 33 -11
1 34 -23
1 35 -18
1 36 -16
1 37 -17
1 38 -14
1 39 -17
1 40 -34
1 41 -22
1 42 -13
1 43 -18
1 44 -14
1 45 -7
1 46 -11
1 47 -23
1 48 -18
1 49 -21
1 50 -13
1 51 -11
1 52 -17
1 53 -18
1 54 0
1 55 -21
1 56 -13
1 57 -12
1 58 0
1 59 7
1 60 -4
1 61 -16
1 62 -15
1 63 -11
1 64 -18
1 65 0
1 66 -18
1 67 -13
1 68 -15
1 69 -6
2 1 -27
2 2 -12
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12 65 12
12 66 -19
12 67 -32
12 68 -19
12 69 -17
!!!Warning!!! Truncated 1 rec