![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20041111-181011.fits
Reduced on 20041115-145704 by janw on moana
Reduction code id: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/install/tdl_2p21_test2)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 0 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20041111-181011.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -2.50 |
| data.pointing_offset_y | 14.55 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.89 |
| 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 | 0.033890000000000003 |
| out.aperture_as_text | 0 |
| out.delete_old | 1 |
| out.farfield_conts | 1 2 3 4 5 10 20 30 40 50 60 70 80 90 |
| out.graph | 2 |
| out.loglevel | 8 |
| out.lut | heat |
| out.plot_device | gif |
| out.plot_height | 600 |
| out.plot_range | 80 |
| out.plot_range_largescale | 25 |
| out.plot_width | 800 |
| out.save_results | 1 |
| out.subdirspec | d |
| out.thumbnails | 1 |
| out.topdir | /home/janw/rxh3/Rxh3red |
| pan.bad_motor_file | |
| pan.edge_factor | 1.0 |
| pan.max_move | 100 |
| pan.min_weight | 0.1 |
| pan.panel_scale | 3.0 |
| pan.zernikes_to_ignore | |
| pan.zero_wt_outside | 1 |
Reduction started at: 20041115-145704
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-181011.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2402.6 max = 2434.9 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.890 mm
----------------- Data Summary ---------------------
Number of samples: 370025
This is a 80 GHz map
Number of frequencies: 16
Frequencies (GHz):
80.338000 80.340000 80.342000 80.344000 80.346000 80.348000
80.350000 80.352000 80.354000 80.356000 80.358000 80.360000
80.362000 80.364000 80.366000 80.368000
item min max mean
loreal -3.17383 3.22510 -0.01228
loimag -3.30811 3.19092 -0.00394
hireal -5.00000 4.99756 -0.17983
hiimag -5.00000 4.99756 -0.05552
xpos -2434.94621 2420.50348 -8.70073
ypos -2402.64382 2402.85936 -0.00387
plock160 0.32471 1.81396 1.12982
lorefpwr 0.23926 1.68457 1.21350
losigpwr -4.52637 -0.05615 -4.34992
hirefpwr 0.29785 1.72363 1.25778
hisigpwr -4.43848 4.99756 -0.76572
encltemp 31.56738 32.81250 32.11029
flags 0.00000 256.00000 2.76738
phi-lock -1.67969 -0.28320 -1.00696
sindex 0.00000 128.00000 63.61104
time 0.00000 2948.00188 1473.11167
zeropt -0.00732 -0.00244 -0.00490
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
----------------------------------------------------
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 = 40.00608 arcsec
Mean row spacing = 40.00609 arcsec (alternate estimator)
Mean tracking incline = -0.25174 arcsec
Mean pointing range = 0.72597 arcsec
Mean pointing rms = 0.14646 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-2.50, 14.55 ) 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: 0 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22676 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22676 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 = 2434.95 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373025
scale = 0.00129968
Diffraction scale lambda/D = 51.3137 arcsec
Gridding function extent = 307.882 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.941 arcsec
Airy first null at 62.5858 arcsec
Gridding frequency index 0
lambda = 0.00373164 metres, scale = 0.0012992 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 = 3.03174 at (0.0, -40.01493689163285) arcsec
Real: mean = 0.00128012 sum of squares = 882.837
Imag: mean = -0.00248797 sum of squares = 1037.14
Gridding frequency index 1
lambda = 0.00373155 metres, scale = 0.00129923 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 = 3.01565 at (0.0, -40.013940751804832) arcsec
Real: mean = 0.00168166 sum of squares = 853.802
Imag: mean = -0.00296904 sum of squares = 1068.19
Gridding frequency index 2
lambda = 0.00373145 metres, scale = 0.00129926 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 = 3.05645 at (0.0, 0.0) arcsec
Real: mean = 0.00233511 sum of squares = 900.793
Imag: mean = -0.00315274 sum of squares = 1023.87
Gridding frequency index 3
lambda = 0.00373136 metres, scale = 0.00129929 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 = 3.11689 at (0.0, 0.0) arcsec
Real: mean = 0.00293981 sum of squares = 997.731
Imag: mean = -0.00300306 sum of squares = 931.466
Gridding frequency index 4
lambda = 0.00373127 metres, scale = 0.00129933 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 = 3.17902 at (0.0, 0.0) arcsec
Real: mean = 0.00337685 sum of squares = 1073.67
Imag: mean = -0.00261352 sum of squares = 861.264
Gridding frequency index 5
lambda = 0.00373118 metres, scale = 0.00129936 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 = 3.22139 at (0.0, 0.0) arcsec
Real: mean = 0.00353951 sum of squares = 1071.84
Imag: mean = -0.00212104 sum of squares = 867.892
Gridding frequency index 6
lambda = 0.00373108 metres, scale = 0.00129939 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 = 3.23439 at (0.0, 0.0) arcsec
Real: mean = 0.00356105 sum of squares = 994.138
Imag: mean = -0.00162645 sum of squares = 950.264
Gridding frequency index 7
lambda = 0.00373099 metres, scale = 0.00129942 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 = 3.22398 at (0.0, 0.0) arcsec
Real: mean = 0.00337183 sum of squares = 901.097
Imag: mean = -0.00118877 sum of squares = 1046.98
Gridding frequency index 8
lambda = 0.0037309 metres, scale = 0.00129946 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 = 3.19477 at (0.0, 0.0) arcsec
Real: mean = 0.00304386 sum of squares = 863.805
Imag: mean = -0.000846549 sum of squares = 1086.82
Gridding frequency index 9
lambda = 0.0037308 metres, scale = 0.00129949 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 = 3.15555 at (0.0, 0.0) arcsec
Real: mean = 0.00255228 sum of squares = 907.892
Imag: mean = -0.000759595 sum of squares = 1045.16
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 = 3.13121 at (0.0, -40.004977724682043) arcsec
Real: mean = 0.00213799 sum of squares = 1001.54
Imag: mean = -0.00085581 sum of squares = 954.925
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 = 3.13338 at (0.0, -40.00398208063713) arcsec
Real: mean = 0.00183754 sum of squares = 1078.72
Imag: mean = -0.00112102 sum of squares = 882.181
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 = 3.11685 at (0.0, -40.002986486150171) arcsec
Real: mean = 0.00161959 sum of squares = 1084.65
Imag: mean = -0.00138274 sum of squares = 879.756
Gridding frequency index 13
lambda = 0.00373043 metres, scale = 0.00129962 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 = 3.10341 at (0.0, -40.001990941217464) arcsec
Real: mean = 0.00147207 sum of squares = 1019.33
Imag: mean = -0.00176842 sum of squares = 949.241
Gridding frequency index 14
lambda = 0.00373034 metres, scale = 0.00129965 radians per metre
Gridding real part of frequency 14...
Gridding imag part of frequency 14...
Pattern is holo(res.pattern14)
Weights in holo(obs.real,wt14) and holo(obs.imag,wt14)
Maximum amplitude = 3.08056 at (0.0, -40.000995445835301) arcsec
Real: mean = 0.00151143 sum of squares = 928.778
Imag: mean = -0.00237808 sum of squares = 1041.93
Gridding frequency index 15
lambda = 0.00373025 metres, scale = 0.00129968 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 = 3.09194 at (0.0, 0.0) arcsec
Real: mean = 0.00205291 sum of squares = 877.126
Imag: mean = -0.00295636 sum of squares = 1096.47
Masking frequency index 0
Mask scale size = 3.05908
Masking frequency index 1
Mask scale size = 3.05915
Masking frequency index 2
Mask scale size = 3.05923
Masking frequency index 3
Mask scale size = 3.05931
Masking frequency index 4
Mask scale size = 3.05938
Masking frequency index 5
Mask scale size = 3.05946
Masking frequency index 6
Mask scale size = 3.05954
Masking frequency index 7
Mask scale size = 3.05961
Masking frequency index 8
Mask scale size = 3.05969
Masking frequency index 9
Mask scale size = 3.05976
Masking frequency index 10
Mask scale size = 3.05984
Masking frequency index 11
Mask scale size = 3.05992
Masking frequency index 12
Mask scale size = 3.05999
Masking frequency index 13
Mask scale size = 3.06007
Masking frequency index 14
Mask scale size = 3.06014
Masking frequency index 15
Mask scale size = 3.06022
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.168457
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.163574
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.158691
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.161133
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: 0.200195
Median point-to-point PLL voltage change: 0.0146484
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -0.64048 105.09
Freq 1: Shift, scale = -1.0764 103.64
Freq 2: Shift, scale = -1.5117 102.38
Freq 3: Shift, scale = -1.9543 101.25
Freq 4: Shift, scale = -2.3998 101
Freq 5: Shift, scale = -2.8467 101.54
Freq 6: Shift, scale = 2.9901 102.96
Freq 7: Shift, scale = 2.5435 104.76
Freq 8: Shift, scale = 2.0978 106.4
Freq 9: Shift, scale = 1.6577 107.63
Freq 10: Shift, scale = 1.2249 108.21
Freq 11: Shift, scale = 0.7984 108.57
Freq 12: Shift, scale = 0.37197 108.45
Freq 13: Shift, scale = -0.056394 108.11
Freq 14: Shift, scale = -0.48774 107.06
Freq 15: Shift, scale = -0.92239 105.47
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: -0.296 radians
x offset: -0.0687 arcsec
y offset: 0.0986 arcsec
defocus: 0.00105 mm
Estimated x pointing error is -2.569 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.65 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.891 mm (used 2.89 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.293 radians
x offset: -0.0788 arcsec
y offset: 0.127 arcsec
defocus: 0.00298 mm
Estimated x pointing error is -2.579 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.68 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.893 mm (used 2.89 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.292 radians
x offset: -0.102 arcsec
y offset: 0.156 arcsec
defocus: 0.00249 mm
Estimated x pointing error is -2.602 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.71 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.892 mm (used 2.89 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.297 radians
x offset: -0.11 arcsec
y offset: 0.167 arcsec
defocus: 0.00281 mm
Estimated x pointing error is -2.61 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.72 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.893 mm (used 2.89 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.304 radians
x offset: -0.12 arcsec
y offset: 0.139 arcsec
defocus: 0.00388 mm
Estimated x pointing error is -2.62 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.69 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.313 radians
x offset: -0.105 arcsec
y offset: 0.111 arcsec
defocus: 0.00435 mm
Estimated x pointing error is -2.605 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.66 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.321 radians
x offset: -0.0904 arcsec
y offset: 0.0745 arcsec
defocus: 0.00454 mm
Estimated x pointing error is -2.59 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.62 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.895 mm (used 2.89 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.33 radians
x offset: -0.0577 arcsec
y offset: 0.0503 arcsec
defocus: 0.00304 mm
Estimated x pointing error is -2.558 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.6 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.893 mm (used 2.89 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.336 radians
x offset: -0.0237 arcsec
y offset: 0.0127 arcsec
defocus: 0.00429 mm
Estimated x pointing error is -2.524 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.56 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.338 radians
x offset: 0.00468 arcsec
y offset: -0.000266 arcsec
defocus: 0.00271 mm
Estimated x pointing error is -2.495 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.55 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.893 mm (used 2.89 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.334 radians
x offset: 0.0276 arcsec
y offset: 0.0102 arcsec
defocus: 5.73e-05 mm
Estimated x pointing error is -2.472 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.56 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.89 mm (used 2.89 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.323 radians
x offset: 0.0356 arcsec
y offset: 0.0331 arcsec
defocus: -0.00295 mm
Estimated x pointing error is -2.464 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.58 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.887 mm (used 2.89 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.311 radians
x offset: 0.0296 arcsec
y offset: 0.0486 arcsec
defocus: -0.00313 mm
Estimated x pointing error is -2.47 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.6 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.887 mm (used 2.89 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.3 radians
x offset: 0.00934 arcsec
y offset: 0.0836 arcsec
defocus: -0.00294 mm
Estimated x pointing error is -2.491 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.63 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.887 mm (used 2.89 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.292 radians
x offset: -0.00906 arcsec
y offset: 0.0859 arcsec
defocus: -0.00286 mm
Estimated x pointing error is -2.509 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.64 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.887 mm (used 2.89 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.288 radians
x offset: 0.00105 arcsec
y offset: 0.0708 arcsec
defocus: -0.00241 mm
Estimated x pointing error is -2.499 arcsec (used -2.5 arcsec)
Estimated y pointing error is 14.62 arcsec (used 14.55 arcsec)
Estimated defocus error is 2.888 mm (used 2.89 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 0.00149 piston
1 1 -0.01144 tilt_x
1 -1 -0.00332 tilt_y
2 2 0.02249 astigmatism_0
2 0 0.00638 curvature
2 -2 0.01367 astigmatism45
3 3 0.00237 trefoil_0
3 1 -0.04310 coma_x
3 -1 -0.01365 coma_y
3 -3 0.00579 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 0.00154 piston
1 1 -0.01082 tilt_x
1 -1 -0.00216 tilt_y
2 2 0.02317 astigmatism_0
2 0 0.00667 curvature
2 -2 0.01316 astigmatism45
3 3 0.00056 trefoil_0
3 1 -0.04127 coma_x
3 -1 -0.01001 coma_y
3 -3 0.00469 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 0.00155 piston
1 1 -0.00978 tilt_x
1 -1 -0.00116 tilt_y
2 2 0.02428 astigmatism_0
2 0 0.00680 curvature
2 -2 0.01237 astigmatism45
3 3 -0.00145 trefoil_0
3 1 -0.03831 coma_x
3 -1 -0.00674 coma_y
3 -3 0.00340 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 0.00155 piston
1 1 -0.00864 tilt_x
1 -1 -0.00063 tilt_y
2 2 0.02506 astigmatism_0
2 0 0.00691 curvature
2 -2 0.01251 astigmatism45
3 3 -0.00388 trefoil_0
3 1 -0.03522 coma_x
3 -1 -0.00503 coma_y
3 -3 0.00221 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 0.00150 piston
1 1 -0.00804 tilt_x
1 -1 -0.00031 tilt_y
2 2 0.02548 astigmatism_0
2 0 0.00670 curvature
2 -2 0.01343 astigmatism45
3 3 -0.00570 trefoil_0
3 1 -0.03361 coma_x
3 -1 -0.00415 coma_y
3 -3 0.00307 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 0.00142 piston
1 1 -0.00790 tilt_x
1 -1 -0.00114 tilt_y
2 2 0.02570 astigmatism_0
2 0 0.00636 curvature
2 -2 0.01405 astigmatism45
3 3 -0.00452 trefoil_0
3 1 -0.03329 coma_x
3 -1 -0.00659 coma_y
3 -3 0.00493 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 0.00130 piston
1 1 -0.00830 tilt_x
1 -1 -0.00236 tilt_y
2 2 0.02654 astigmatism_0
2 0 0.00580 curvature
2 -2 0.01499 astigmatism45
3 3 -0.00468 trefoil_0
3 1 -0.03485 coma_x
3 -1 -0.01014 coma_y
3 -3 0.00728 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 0.00125 piston
1 1 -0.00870 tilt_x
1 -1 -0.00359 tilt_y
2 2 0.02684 astigmatism_0
2 0 0.00547 curvature
2 -2 0.01436 astigmatism45
3 3 -0.00299 trefoil_0
3 1 -0.03618 coma_x
3 -1 -0.01346 coma_y
3 -3 0.00982 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 0.00127 piston
1 1 -0.00910 tilt_x
1 -1 -0.00398 tilt_y
2 2 0.02641 astigmatism_0
2 0 0.00544 curvature
2 -2 0.01278 astigmatism45
3 3 -0.00245 trefoil_0
3 1 -0.03743 coma_x
3 -1 -0.01431 coma_y
3 -3 0.01031 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 0.00130 piston
1 1 -0.00981 tilt_x
1 -1 -0.00371 tilt_y
2 2 0.02550 astigmatism_0
2 0 0.00546 curvature
2 -2 0.01216 astigmatism45
3 3 -0.00198 trefoil_0
3 1 -0.03950 coma_x
3 -1 -0.01362 coma_y
3 -3 0.01034 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 0.00134 piston
1 1 -0.01031 tilt_x
1 -1 -0.00299 tilt_y
2 2 0.02584 astigmatism_0
2 0 0.00559 curvature
2 -2 0.01107 astigmatism45
3 3 -0.00188 trefoil_0
3 1 -0.04110 coma_x
3 -1 -0.01146 coma_y
3 -3 0.00895 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 0.00140 piston
1 1 -0.01045 tilt_x
1 -1 -0.00225 tilt_y
2 2 0.02654 astigmatism_0
2 0 0.00586 curvature
2 -2 0.01090 astigmatism45
3 3 -0.00328 trefoil_0
3 1 -0.04171 coma_x
3 -1 -0.00935 coma_y
3 -3 0.00716 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 0.00146 piston
1 1 -0.01044 tilt_x
1 -1 -0.00175 tilt_y
2 2 0.02815 astigmatism_0
2 0 0.00609 curvature
2 -2 0.00964 astigmatism45
3 3 -0.00435 trefoil_0
3 1 -0.04202 coma_x
3 -1 -0.00757 coma_y
3 -3 0.00451 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 0.00153 piston
1 1 -0.01046 tilt_x
1 -1 -0.00143 tilt_y
2 2 0.02829 astigmatism_0
2 0 0.00636 curvature
2 -2 0.00893 astigmatism45
3 3 -0.00472 trefoil_0
3 1 -0.04180 coma_x
3 -1 -0.00643 coma_y
3 -3 0.00319 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 0.00162 piston
1 1 -0.00985 tilt_x
1 -1 -0.00081 tilt_y
2 2 0.02775 astigmatism_0
2 0 0.00676 curvature
2 -2 0.00841 astigmatism45
3 3 -0.00604 trefoil_0
3 1 -0.03964 coma_x
3 -1 -0.00440 coma_y
3 -3 0.00168 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 0.00169 piston
1 1 -0.00892 tilt_x
1 -1 -0.00039 tilt_y
2 2 0.02569 astigmatism_0
2 0 0.00723 curvature
2 -2 0.00910 astigmatism45
3 3 -0.00612 trefoil_0
3 1 -0.03608 coma_x
3 -1 -0.00333 coma_y
3 -3 0.00313 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: 29.9 25.1 22.2 26.9 25.2 28.4 42.6 36.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 24.2 22.2 26.7 24.8 27.6 43.5 36.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.59 4.8 5.92 5.86 4.57 4.05 8.05 5.9
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 24.7 22.3 27.1 25.6 28.2 43.4 37.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 24 22.3 26.9 25.1 27.4 44.3 36.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.43 4.52 5.57 5.55 4.4 4.04 7.79 5.69
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.1 24.8 22.4 27.6 25.8 28.4 43.8 37.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30 24.2 22.4 27.5 25.3 27.5 44.7 37.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.23 4.14 5.13 5.15 4.2 4.08 7.51 5.45
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 25.1 22.7 28 26 28.7 44.3 37.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.6 24.6 22.8 27.9 25.5 27.7 45.3 37.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.04 3.8 4.72 4.79 4.06 4.16 7.33 5.26
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 25 23.1 28.5 26.1 29 44.3 37.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.7 24.6 23.2 28.5 25.5 28 45.4 37
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.94 3.62 4.51 4.63 4.04 4.29 7.35 5.22
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.2 25.1 23.5 29 26.1 29.2 44.7 37.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.1 24.5 23.6 29.1 25.5 28.3 45.8 36.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.95 3.63 4.53 4.64 4.08 4.36 7.42 5.26
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.6 25.4 23.5 29.2 25.9 29.4 44.5 36.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.4 24.7 23.6 29.3 25.3 28.5 45.7 36.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.08 3.88 4.84 4.95 4.32 4.58 7.87 5.55
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.7 25.8 23.5 29.3 25.8 29.4 44.2 36.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.4 24.9 23.6 29.3 25.2 28.5 45.6 36.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.21 4.12 5.12 5.21 4.46 4.64 8.13 5.74
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.2 25.8 23.4 27.3 25.6 29 43.7 35.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35 24.8 23.6 27 25.2 28.1 44.9 35.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.3 4.27 5.3 5.35 4.48 4.52 8.14 5.77
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.4 25.7 23 28 25.3 28.5 43.6 35.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.1 24.8 23.2 27.6 24.9 27.7 44.6 35.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.39 4.45 5.5 5.52 4.51 4.39 8.16 5.82
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.9 25.7 22.2 27.1 25 28.4 42.9 35.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 24.9 22.5 26.7 24.6 27.5 43.8 35.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.45 4.54 5.61 5.62 4.54 4.34 8.17 5.86
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 25.8 21.7 26.8 24.7 28.5 42.4 35.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.7 25.1 22.1 26.5 24.3 27.6 43.3 35.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.45 4.55 5.63 5.64 4.57 4.38 8.22 5.9
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.3 25.7 21.7 26.8 24.7 28.4 41.6 35.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 25 22 26.5 24.3 27.4 42.5 35.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.45 4.55 5.63 5.65 4.61 4.49 8.32 5.96
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 25.3 21.9 26.9 24.8 28 41.7 36.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 24.6 22.1 26.6 24.5 27 42.5 35.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.42 4.5 5.57 5.6 4.58 4.46 8.27 5.93
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 24.9 22 26.7 25.1 27.6 41.7 36.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 24.4 22.2 26.5 24.7 26.6 42.5 36.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.29 4.25 5.27 5.31 4.39 4.37 7.97 5.71
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.2 24.7 22.2 26.6 25.3 27.7 42.3 36.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.1 24.2 22.4 26.4 24.9 26.8 43.1 36.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.08 3.86 4.79 4.85 4.06 4.11 7.39 5.31
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 28.3 24.2 21.3 24.9 24.1 27 41.8 35.1
Mean deviation is 3.7051689935947811 microns
Taper = 10 dB, Ruze illumination-weighted rms = 33.6 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 = 30.1 micron
Centre pixel: 64.0 64.0 Value = 2446.93 (estimate), 3426.12 (perfect)
Strehl = 0.510082
Strehl ratio estimate = 0.5101
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 = 29.5 micron
Centre pixel: 64.0 64.0 Value = 1843.28 (estimate), 3426.12 (perfect)
Strehl = 0.289454
Strehl ratio estimate = 0.2895
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.15028 metres
panel scale = 3.00000 metres
mean frequency = 80.35300 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 6.2 12.8 9.8 17.3
2 1 2 13.0 14.9 24.9 31.8
3 1 3 46.0 26.1 -17.8 55.8
4 1 4 57.1 3.4 7.7 57.7
5 1 5 30.6 45.9 87.5 103.5
6 1 6 65.8 34.4 27.9 79.3
7 1 7 56.0 30.5 53.9 83.5
8 1 8 43.3 69.0 78.8 113.4
9 1 9 -42.9 32.7 25.3 59.6
10 1 10 25.3 18.1 38.8 49.7
11 1 11 47.0 27.6 31.6 63.0
12 1 12 17.3 10.5 16.5 26.1
13 2 1 5.3 -34.1 -29.6 45.5
14 2 2 -0.2 -25.4 -14.7 29.3
15 2 3 34.9 -32.9 -38.2 61.3
16 2 4 27.8 -21.4 -4.3 35.3
17 2 5 38.4 7.1 21.6 44.7
18 2 6 19.0 28.4 29.4 45.1
19 2 7 -2.1 -0.1 8.5 8.8
20 2 8 41.8 18.5 22.6 51.0
21 2 9 53.2 11.2 -7.2 54.9
22 2 10 7.4 -2.1 25.6 26.8
23 2 11 -10.5 26.5 49.0 56.7
24 2 12 0.7 40.9 52.2 66.3
25 2 13 22.0 47.8 34.4 62.8
26 2 14 5.8 37.6 54.2 66.2
27 2 15 17.1 37.1 22.9 46.9
28 2 16 -20.1 47.5 4.6 51.8
29 2 17 50.2 -35.1 -18.4 64.0
30 2 18 30.4 28.9 12.0 43.6
31 2 19 7.9 -2.4 -26.9 28.1
32 2 20 27.7 -25.9 -12.3 39.9
33 2 21 22.8 18.3 -6.4 30.0
34 2 22 36.3 -29.9 -38.0 60.5
35 2 23 37.6 -32.0 -25.7 55.6
36 2 24 8.5 -29.8 -49.9 58.8
37 3 1 -12.8 15.4 4.0 20.4
38 3 2 9.1 12.9 -1.2 15.8
39 3 3 -1.6 4.3 -1.5 4.9
40 3 4 13.6 7.2 22.7 27.4
41 3 5 -20.5 24.9 14.2 35.2
42 3 6 -32.4 -7.5 20.3 38.9
43 3 7 -15.2 -9.2 -22.2 28.4
44 3 8 -0.6 -2.2 -7.2 7.5
45 3 9 33.1 -6.0 -15.8 37.1
46 3 10 11.1 14.3 -4.0 18.6
47 3 11 17.2 22.2 -21.9 35.5
48 3 12 6.4 13.4 -21.2 25.8
49 3 13 -6.3 7.7 5.8 11.5
50 3 14 20.1 11.3 6.6 24.0
51 3 15 15.3 11.3 13.7 23.4
52 3 16 12.8 8.3 19.4 24.6
53 3 17 21.7 9.5 27.4 36.2
54 3 18 27.7 19.4 12.4 36.0
55 3 19 50.5 18.0 -12.3 55.1
56 3 20 39.4 20.1 -2.3 44.3
57 3 21 30.1 12.1 2.2 32.5
58 3 22 25.1 8.1 5.8 27.0
59 3 23 31.7 8.0 -7.1 33.4
60 3 24 0.8 6.6 -38.4 39.0
61 3 25 8.8 2.3 -30.7 32.0
62 3 26 15.5 7.6 -3.7 17.6
63 3 27 7.8 8.7 -3.8 12.3
64 3 28 39.4 26.8 -9.4 48.6
65 3 29 45.5 21.6 -2.0 50.4
66 3 30 36.2 5.0 -18.5 40.9
67 3 31 32.4 20.8 10.3 39.9
68 3 32 18.3 27.0 29.2 43.8
69 3 33 -31.0 25.4 24.7 47.0
70 3 34 12.8 -7.5 -12.4 19.3
71 3 35 79.9 2.7 -7.8 80.4
72 3 36 36.1 -0.3 8.5 37.0
73 3 37 -12.2 -4.1 -58.8 60.2
74 3 38 -0.5 6.4 -34.3 34.9
75 3 39 20.0 -0.1 -15.3 25.2
76 3 40 47.4 -6.0 -14.4 49.9
77 3 41 12.1 -3.0 -19.6 23.2
78 3 42 -11.4 -7.2 -28.4 31.4
79 3 43 -35.1 -7.6 7.1 36.6
80 3 44 -2.1 12.3 13.8 18.6
81 3 45 27.4 2.7 7.1 28.5
82 3 46 -1.9 7.4 -2.6 8.1
83 3 47 1.1 10.7 -4.5 11.7
84 3 48 -12.4 10.9 -18.5 24.8
85 4 1 3.5 -37.8 -8.3 38.8
86 4 2 -7.1 -38.2 -64.0 74.9
87 4 3 -6.0 -35.0 -60.5 70.2
88 4 4 18.2 -10.3 -86.9 89.4
89 4 5 17.8 -9.1 -44.2 48.5
90 4 6 29.1 -0.6 -38.8 48.5
91 4 7 16.4 0.6 -7.2 18.0
92 4 8 -2.7 6.6 -40.3 40.9
93 4 9 -21.3 -5.6 -24.3 32.8
94 4 10 -8.1 -7.7 -52.8 54.0
95 4 11 -22.5 17.5 -7.9 29.6
96 4 12 -28.2 -6.5 -22.4 36.6
97 4 13 -2.2 -17.0 25.1 30.4
98 4 14 0.2 0.6 -2.2 2.3
99 4 15 4.4 -3.5 26.0 26.6
100 4 16 0.9 4.8 -3.9 6.3
101 4 17 -0.9 1.5 -5.3 5.6
102 4 18 44.8 -13.3 6.6 47.2
103 4 19 7.4 -14.6 -43.1 46.1
104 4 20 9.5 -18.4 -48.5 52.7
105 4 21 -29.1 -27.3 -13.9 42.3
106 4 22 -51.9 -24.5 5.0 57.6
107 4 23 -58.1 -40.9 -24.1 75.0
108 4 24 19.5 -13.6 -6.4 24.6
109 4 25 8.2 -12.2 14.6 20.7
110 4 26 -57.7 -18.2 6.7 60.8
111 4 27 -53.6 -30.9 -3.0 62.0
112 4 28 -48.6 -40.6 -4.8 63.5
113 4 29 -19.7 -24.3 -104.3 108.9
114 4 30 -17.6 -24.2 -47.3 56.0
115 4 31 0.7 -25.8 -17.9 31.4
116 4 32 -13.9 8.3 -21.3 26.8
117 4 33 14.3 8.3 -0.3 16.6
118 4 34 9.0 -5.0 -3.0 10.7
119 4 35 -60.5 -10.5 -44.3 75.7
120 4 36 -25.1 -17.2 -41.6 51.5
121 4 37 3.9 -10.8 -30.8 32.9
122 4 38 -20.3 -25.6 -18.9 37.8
123 4 39 -3.3 -3.3 -12.5 13.3
124 4 40 -23.1 -10.7 -17.8 31.0
125 4 41 -12.7 6.3 28.1 31.5
126 4 42 41.3 -6.9 -6.8 42.4
127 4 43 10.5 -8.2 -20.6 24.5
128 4 44 4.8 2.4 -11.7 12.9
129 4 45 13.8 -5.0 -41.9 44.4
130 4 46 20.8 -30.6 -54.5 65.9
131 4 47 -18.6 -29.0 -91.4 97.7
132 4 48 -27.7 -38.5 -35.9 59.5
133 5 1 -11.0 3.6 16.3 20.0
134 5 2 23.3 24.5 -20.1 39.3
135 5 3 -48.5 4.0 -35.6 60.3
136 5 4 -11.4 -1.0 20.5 23.5
137 5 5 -45.1 -8.4 -14.2 48.0
138 5 6 -9.7 -15.0 -47.5 50.8
139 5 7 -0.4 -7.8 -17.1 18.8
140 5 8 -5.6 -0.7 -21.5 22.3
141 5 9 6.7 -6.0 -9.5 13.1
142 5 10 -29.1 -6.1 -15.8 33.7
143 5 11 5.3 -16.4 -12.7 21.4
144 5 12 -19.5 9.5 14.8 26.2
145 5 13 -20.1 -5.0 0.1 20.7
146 5 14 -7.5 50.3 -12.0 52.3
147 5 15 1.3 40.8 -30.3 50.9
148 5 16 -5.5 8.6 -15.2 18.3
149 5 17 -18.9 12.9 -16.4 28.2
150 5 18 -20.8 -24.1 177.1 179.9
151 5 19 -10.9 -23.6 -41.8 49.3
152 5 20 -16.3 -16.3 -48.9 54.1
153 5 21 -1.5 -16.1 -40.2 43.3
154 5 22 -13.6 -4.2 -33.6 36.5
155 5 23 -29.5 -22.3 -41.5 55.6
156 5 24 -17.0 -33.3 -40.1 54.8
157 5 25 -17.9 -31.8 -47.5 59.9
158 5 26 -14.3 -18.9 -44.2 50.2
159 5 27 1.6 -6.8 -37.3 38.0
160 5 28 -1.0 -24.7 -34.4 42.3
161 5 29 10.3 -12.2 -42.7 45.6
162 5 30 -26.9 -39.4 13.0 49.4
163 5 31 -48.1 -38.3 -29.3 68.1
164 5 32 -23.5 -10.7 -41.7 49.0
165 5 33 -1.6 -15.8 -2.3 16.0
166 5 34 -29.8 -14.6 -23.3 40.6
167 5 35 14.2 26.4 -19.0 35.5
168 5 36 -41.8 -16.9 -62.8 77.3
169 5 37 -18.0 9.4 -29.0 35.5
170 5 38 -5.4 -9.8 -43.8 45.2
171 5 39 -18.3 35.7 -75.8 85.8
172 5 40 -4.2 13.6 -18.9 23.6
173 5 41 7.9 23.8 -42.2 49.1
174 5 42 -3.1 -21.2 -43.3 48.3
175 5 43 1.0 -22.4 -57.8 62.0
176 5 44 -29.5 -10.0 -17.0 35.5
177 5 45 -6.5 -8.4 1.8 10.8
178 5 46 -20.4 3.1 20.5 29.0
179 5 47 33.1 24.0 -35.3 54.0
180 5 48 -8.2 3.2 -4.9 10.1
181 6 1 -3.7 -13.8 -20.0 24.5
182 6 2 -3.3 -18.2 -30.0 35.3
183 6 3 34.2 -13.9 13.9 39.4
184 6 4 -55.3 3.4 -87.0 103.2
185 6 5 -8.6 1.9 -13.9 16.5
186 6 6 1.4 -13.6 -25.6 29.0
187 6 7 -27.7 -19.7 -36.2 49.6
188 6 8 -41.6 -14.1 -48.6 65.5
189 6 9 -30.2 -3.4 20.0 36.3
190 6 10 6.4 -0.5 13.9 15.3
191 6 11 -16.7 6.6 -26.3 31.8
192 6 12 -7.9 20.7 -8.4 23.7
193 6 13 -2.8 8.4 4.3 9.8
194 6 14 9.1 17.9 3.8 20.5
195 6 15 17.9 1.2 11.3 21.2
196 6 16 -2.9 15.3 23.0 27.8
197 6 17 -38.8 -11.1 -18.4 44.3
198 6 18 -23.7 -32.2 -36.2 54.0
199 6 19 -37.6 -45.1 -13.9 60.3
200 6 20 -46.7 -10.3 9.8 48.9
201 6 21 -93.4 -10.8 7.0 94.3
202 6 22 8.2 -40.3 9.6 42.2
203 6 23 -37.6 -22.1 25.4 50.5
204 6 24 -62.1 -11.8 5.7 63.5
205 6 25 -69.4 -12.6 -2.0 70.5
206 6 26 -50.1 -11.6 11.0 52.6
207 6 27 -11.9 -31.6 14.9 37.0
208 6 28 -13.0 -2.8 163.1 163.7
209 6 29 -88.1 -10.2 -5.7 88.9
210 6 30 -48.1 -24.9 53.3 76.0
211 6 31 -3.1 -25.2 -13.7 28.9
212 6 32 -45.7 -43.8 12.7 64.5
213 6 33 13.5 -31.9 162.3 166.0
214 6 34 65.8 -20.9 93.8 116.5
215 6 35 25.4 -20.4 80.4 86.8
216 6 36 -36.6 24.8 71.2 83.8
217 6 37 -13.9 35.4 57.1 68.6
218 6 38 -24.1 13.0 3.8 27.6
219 6 39 13.7 25.0 26.0 38.6
220 6 40 -9.0 2.6 -9.7 13.5
221 6 41 -36.2 2.5 -34.7 50.2
222 6 42 -37.3 -19.4 23.3 48.0
223 6 43 4.2 -20.9 8.7 23.1
224 6 44 -12.9 -0.4 -10.0 16.3
225 6 45 22.8 4.1 21.3 31.5
226 6 46 18.0 -7.6 53.6 57.1
227 6 47 -32.0 -12.8 -2.2 34.5
228 6 48 -41.6 -13.2 -11.3 45.1
229 7 1 8.5 48.7 9.7 50.4
230 7 2 -3.9 26.8 -11.7 29.5
231 7 3 17.5 29.0 48.9 59.4
232 7 4 9.7 75.6 94.9 121.7
233 7 5 -19.1 17.3 47.0 53.6
234 7 6 -0.4 51.5 5.4 51.8
235 7 7 -38.6 39.2 54.1 77.1
236 7 8 -4.5 57.9 -39.8 70.3
237 7 9 29.3 -5.7 90.3 95.1
238 7 10 22.4 44.2 36.6 61.6
239 7 11 -12.0 38.7 0.2 40.6
240 7 12 7.5 52.7 40.3 66.8
241 7 13 7.3 52.7 71.4 89.0
242 7 14 27.8 69.3 56.3 93.5
243 7 15 -24.5 39.4 51.4 69.3
244 7 16 40.1 48.4 52.8 82.1
245 7 17 -23.5 11.2 33.2 42.2
246 7 18 -34.5 39.7 20.7 56.5
247 7 19 8.8 26.3 58.2 64.4
248 7 20 -15.1 15.5 61.2 64.9
249 7 21 39.7 155.7 69.9 175.3
250 7 22 -9.0 52.9 67.9 86.5
251 7 23 50.2 58.1 82.2 112.5
252 7 24 19.2 95.5 112.3 148.7
253 7 25 7.4 100.3 120.3 156.8
254 7 26 32.7 85.1 69.9 114.9
255 7 27 49.0 71.4 60.6 105.7
256 7 28 63.5 251.0 230.4 346.5
257 7 29 -29.8 102.5 139.0 175.2
258 7 30 -23.1 29.3 112.0 118.0
259 7 31 -42.4 27.9 34.2 61.3
260 7 32 -4.5 27.4 -10.9 29.8
261 7 33 41.0 -116.3 97.6 157.3
262 7 34 23.7 71.8 21.7 78.6
263 7 35 55.9 44.6 70.7 100.6
264 7 36 57.0 70.4 79.0 120.2
265 7 37 45.7 81.3 70.7 117.0
266 7 38 40.4 71.3 28.1 86.6
267 7 39 51.4 85.7 28.0 103.8
268 7 40 63.0 152.4 0.0 164.9
269 7 41 16.7 27.5 53.6 62.5
270 7 42 17.4 5.5 -7.7 19.8
271 7 43 -67.4 30.1 -21.7 77.0
272 7 44 16.5 51.8 -2.9 54.5
273 7 45 2.1 -17.7 163.1 164.1
274 7 46 54.9 55.1 73.1 106.7
275 7 47 33.7 81.2 8.2 88.3
276 7 48 46.1 178.6 39.6 188.6
Creating sector-motor-move file
sector motor steps
1 1 29
1 2 23
1 3 2
1 4 -26
1 5 1
1 6 -16
1 7 14
1 8 8
1 9 5
1 10 4
1 11 -4
1 12 10
1 13 -3
1 14 8
1 15 -1
1 16 -9
1 17 -5
1 18 0
1 19 2
1 20 14
1 21 2
1 22 -6
1 23 -4
1 24 -1
1 25 6
1 26 0
1 27 -3
1 28 -26
1 29 -3
1 30 5
1 31 -10
1 32 1
1 33 -14
1 34 -18
1 35 -10
1 36 -1
1 37 -6
1 38 7
1 39 7
1 40 -19
1 41 -11
1 42 -2
1 43 4
1 44 1
1 45 -3
1 46 -2
1 47 -11
1 48 1
1 49 0
1 50 1
1 51 0
1 52 -4
1 53 -7
1 54 0
1 55 0
1 56 3
1 57 2
1 58 3
1 59 1
1 60 3
1 61 1
1 62 4
1 63 -3
1 64 -10
1 65 1
1 66 -9
1 67 6
1 68 2
1 69 4
2 1 -12
2 2 17
2 3 -1
2 4 -14
2 5 -4
2 6 -12
2 7 16
2 8 12
2 9 -11
2 10 -11
2 11 -6
2 12 -8
2 13 1
2 14 15
2 15 0
2 16 -7
2 17 -4
2 18 0
2 19 14
2 20 5
2 21 -5
2 22 -4
2 23 0
2 24 -2
2 25 -6
2 26 0
2 27 -1
2 28 -12
2 29 2
2 30 0
2 31 -5
2 32 -2
2 33 0
2 34 -2
2 35 0
2 36 5
2 37 -14
2 38 -4
2 39 -2
2 40 -11
2 41 0
2 42 8
2 43 -4
2 44 -2
2 45 -13
2 46 -13
2 47 -2
2 48 5
2 49 -6
2 50 -2
2 51 -4
2 52 -1
2 53 -6
2 54 8
2 55 6
2 56 -2
2 57 -9
2 58 4
2 59 3
2 60 7
2 61 4
2 62 7
2 63 -6
2 64 2
2 65 10
2 66 -11
2 67 -2
2 68 0
2 69 0
3 1 12
3 2 16
3 3 2
3 4 -2
3 5 6
3 6 -2
3 7 0
3 8 11
3 9 -3
3 10 -8
3 11 2
3 12 -5
3 13 11
3 14 13
3 15 6
3 16 4
3 17 0
3 18 1
3 19 27
3 20 -1
3 21 8
3 22 6
3 23 -1
3 24 -9
3 25 4
3 26 2
3 27 -5
3 28 -6
3 29 -1
3 30 -8
3 31 -3
3 32 -5
3 33 1
3 34 -2
3 35 5
3 36 -6
3 37 -4
3 38 -1
3 39 -8
3 40 -16
3 41 -2
3 42 -2
3 43 -2
3 44 -1
3 45 2
3 46 -7
3 47 -1
3 48 -6
3 49 -6
3 50 6
3 51 5
3 52 9
3 53 8
3 54 5
3 55 -1
3 56 4
3 57 3
3 58 7
3 59 14
3 60 -5
3 61 -4
3 62 -1
3 63 10
3 64 0
3 65 11
3 66 6
3 67 -6
3 68 4
3 69 1
4 1 16
4 2 14
4 3 12
4 4 7
4 5 4
4 6 0
4 7 15
4 8 12
4 9 -7
4 10 3
4 11 0
4 12 5
4 13 17
4 14 21
4 15 8
4 16 1
4 17 5
4 18 2
4 19 21
4 20 16
4 21 2
4 22 1
4 23 2
4 24 0
4 25 -4
4 26 2
4 27 -1
4 28 -1
4 29 1
4 30 0
4 31 -9
4 32 12
4 33 0
4 34 7
4 35 -1
4 36 1
4 37 -3
4 38 15
4 39 -2
4 40 0
4 41 0
4 42 0
4 43 0
4 44 -1
4 45 -6
4 46 7
4 47 -5
4 48 0
4 49 4
4 50 3
4 51 4
4 52 6
4 53 5
4 54 12
4 55 2
4 56 3
4 57 6
4 58 1
4 59 17
4 60 2
4 61 1
4 62 2
4 63 -1
4 64 3
4 65 0
4 66 2
4 67 5
4 68 2
4 69 3
5 1 18
5 2 4
5 3 -4
5 4 3
5 5 -3
5 6 -14
5 7 17
5 8 8
5 9 2
5 10 -4
5 11 -13
5 12 -11
5 13 6
5 14 12
5 15 -10
5 16 -11
5 17 -9
5 18 -7
5 19 10
5 20 3
5 21 -7
5 22 -5
5 23 -3
5 24 -11
5 25 -15
5 26 -4
5 27 -4
5 28 -14
5 29 -5
5 30 2
5 31 -12
5 32 -7
5 33 -3
5 34 -13
5 35 -4
5 36 2
5 37 54
5 38 -7
5 39 -6
5 40 2
5 41 -4
5 42 13
5 43 -5
5 44 3
5 45 -5
5 46 -1
5 47 0
5 48 0
5 49 -3
5 50 5
5 51 15
5 52 7
5 53 0
5 54 2
5 55 3
5 56 5
5 57 8
5 58 14
5 59 9
5 60 26
5 61 8
5 62 2
5 63 6
5 64 8
5 65 16
5 66 -2
5 67 0
5 68 6
5 69 12
6 1 34
6 2 29
6 3 5
6 4 1
6 5 -3
6 6 -19
6 7 25
6 8 17
6 9 15
6 10 7
6 11 -6
6 12 -11
6 13 20
6 14 16
6 15 -2
6 16 2
6 17 -12
6 18 2
6 19 21
6 20 47
6 21 12
6 22 2
6 23 -3
6 24 -28
6 25 -12
6 26 -10
6 27 -5
6 28 -1
6 29 -4
6 30 5
6 31 -12
6 32 -6
6 33 -9
6 34 -7
6 35 -12
6 36 -17
6 37 -10
6 38 -1
6 39 -4
6 40 1
6 41 -7
6 42 -15
6 43 -12
6 44 -4
6 45 0
6 46 -4
6 47 -8
6 48 -8
6 49 -2
6 50 2
6 51 9
6 52 15
6 53 12
6 54 0
6 55 1
6 56 2
6 57 7
6 58 10
6 59 20
6 60 8
6 61 0
6 62 3
6 63 9
6 64 14
6 65 -3
6 66 15
6 67 -11
6 68 2
6 69 0
7 1 70
7 2 76
7 3 19
7 4 50
7 5 0
7 6 -4
7 7 18
7 8 21
7 9 15
7 10 4
7 11 -9
7 12 -3
7 13 21
7 14 26
7 15 10
7 16 3
7 17 -3
7 18 -15
7 19 36
7 20 30
7 21 2
7 22 0
7 23 -3
7 24 -21
7 25 -10
7 26 -7
7 27 0
7 28 -1
7 29 -12
7 30 -14
7 31 -11
7 32 -2
7 33 0
7 34 0
7 35 -9
7 36 -16
7 37 -13
7 38 -5
7 39 -4
7 40 2
7 41 -5
7 42 -17
7 43 -14
7 44 -9
7 45 -5
7 46 4
7 47 -3
7 48 2
7 49 -1
7 50 2
7 51 2
7 52 16
7 53 11
7 54 1
7 55 -1
7 56 2
7 57 4
7 58 9
7 59 17
7 60 16
7 61 -9
7 62 0
7 63 2
7 64 11
7 65 6
7 66 10
7 67 -2
7 68 8
7 69 12
8 1 -3
8 2 8
8 3 -1
8 4 3
8 5 -13
8 6 -14
8 7 10
8 8 8
8 9 -13
8 10 -4
8 11 -7
8 12 0
8 13 34
8 14 8
8 15 -7
8 16 16
8 17 -7
8 18 -14
8 19 42
8 20 31
8 21 -9
8 22 -1
8 23 -3
8 24 -27
8 25 -12
8 26 -3
8 27 -7
8 28 -6
8 29 2
8 30 -4
8 31 -8
8 32 -11
8 33 -14
8 34 -5
8 35 -7
8 36 0
8 37 3
8 38 -12
8 39 -8
8 40 -14
8 41 -7
8 42 -5
8 43 -13
8 44 -3
8 45 3
8 46 -31
8 47 -7
8 48 -6
8 49 3
8 50 6
8 51 9
8 52 1
8 53 14
8 54 -6
8 55 -5
8 56 1
8 57 11
8 58 21
8 59 13
8 60 24
8 61 0
8 62 6
8 63 13
8 64 -10
8 65 5
8 66 7
8 67 8
8 68 8
8 69 5
9 1 24
9 2 21
9 3 17
9 4 21
9 5 7
9 6 -11
9 7 21
9 8 13
9 9 17
9 10 24
9 11 -6
9 12 7
9 13 6
9 14 22
9 15 7
9 16 28
9 17 -6
9 18 20
9 19 29
9 20 -35
9 21 12
9 22 49
9 23 -9
9 24 4
9 25 -19
9 26 -5
9 27 -12
9 28 -12
9 29 -5
9 30 -7
9 31 -5
9 32 8
9 33 4
9 34 -13
9 35 -3
9 36 -18
9 37 -7
9 38 -4
9 39 -9
9 40 0
9 41 -1
9 42 2
9 43 0
9 44 -4
9 45 0
9 46 0
9 47 2
9 48 4
9 49 -2
9 50 0
9 51 24
9 52 3
9 53 8
9 54 9
9 55 -3
9 56 -2
9 57 3
9 58 10
9 59 -13
9 60 7
9 61 7
9 62 7
9 63 -9
9 64 0
9 65 15
9 66 -5
9 67 2
9 68 0
9 69 11
10 1 0
10 2 46
10 3 19
10 4 -2
10 5 0
10 6 -2
10 7 8
10 8 26
10 9 15
10 10 7
10 11 7
10 12 4
10 13 8
10 14 21
10 15 12
10 16 1
10 17 4
10 18 -7
10 19 21
10 20 24
10 21 14
10 22 17
10 23 10
10 24 -4
10 25 -5
10 26 4
10 27 -1
10 28 -5
10 29 -3
10 30 -7
10 31 -23
10 32 10
10 33 -5
10 34 -3
10 35 -1
10 36 -1
10 37 -13
10 38 -3
10 39 -1
10 40 -5
10 41 -7
10 42 -6
10 43 -8
10 44 2
10 45 -5
10 46 -9
10 47 -3
10 48 1
10 49 -4
10 50 0
10 51 6
10 52 -3
10 53 -7
10 54 8
10 55 -10
10 56 1
10 57 0
10 58 5
10 59 7
10 60 11
10 61 -18
10 62 -1
10 63 -3
10 64 5
10 65 2
10 66 -8
10 67 -4
10 68 -1
10 69 14
11 1 0
11 2 15
11 3 5
11 4 -3
11 5 0
11 6 -3
11 7 -6
11 8 9
11 9 -20
11 10 2
11 11 -6
11 12 1
11 13 -2
11 14 1
11 15 5
11 16 7
11 17 -5
11 18 -11
11 19 16
11 20 8
11 21 5
11 22 -10
11 23 0
11 24 -11
11 25 -5
11 26 -3
11 27 -9
11 28 -3
11 29 0
11 30 1
11 31 -17
11 32 -6
11 33 0
11 34 -6
11 35 -2
11 36 3
11 37 -13
11 38 -6
11 39 0
11 40 -2
11 41 -2
11 42 12
11 43 -12
11 44 7
11 45 2
11 46 8
11 47 1
11 48 -3
11 49 2
11 50 -2
11 51 -10
11 52 -11
11 53 -9
11 54 11
11 55 -8
11 56 -2
11 57 -3
11 58 8
11 59 14
11 60 9
11 61 -5
11 62 0
11 63 3
11 64 -9
11 65 6
11 66 -1
11 67 4
11 68 3
11 69 0
12 1 12
12 2 54
12 3 14
12 4 -3
12 5 -4
12 6 -12
12 7 2
12 8 24
12 9 10
12 10 0
12 11 -3
12 12 -9
12 13 22
12 14 16
12 15 16
12 16 16
12 17 -2
12 18 5
12 19 50
12 20 -5
12 21 0
12 22 6
12 23 1
12 24 7
12 25 -1
12 26 0
12 27 -2
12 28 -11
12 29 -11
12 30 -8
12 31 -10
12 32 7
12 33 10
12 34 -28
12 35 -8
12 36 -5
12 37 6
12 38 0
12 39 -6
12 40 -16
12 41 -9
12 42 6
12 43 0
12 44 -2
12 45 -1
12 46 -12
12 47 -1
12 48 4
12 49 -1
12 50 3
12 51 0
12 52 -15
12 53 -9
12 54 2
12 55 0
12 56 2
12 57 0
12 58 3
12 59 5
12 60 5
12 61 2
12 62 0
12 63 8
12 64 -10
12 65 11
12 66 -7
12 67 -5
12 68 3
12 69 -3
Adjuster movements: rms = 37.7 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041115-150529
Creating HTML output file of plots
Plotting summary text