![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20050119-221027.fits
Reduced on 20050120-105456 by janw on moana
Reduction code id: 2.20 (created Jan 28 2004 at 09:18:22) (TDL_BIN = /jac_sw/itsroot/install/tdl_2p20)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 0 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20050119-221027.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 0 |
| data.pointing_offset_y | 0 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.5 |
| data.trim_box | |
| data.trim_pixels | |
| err.cal_max_damp | 1.02 |
| err.cal_max_dphi | 10.0 |
| err.tracking_max_range | 4.0 |
| err.tracking_max_rms | 2.0 |
| geom.distance_source | 695.0 |
| geom.focal_bigf | 180.0 |
| geom.focal_littlef | 5.4 |
| geom.mirror_position_x | +1.850 |
| geom.mirror_position_y | +3.861 |
| geom.mirror_position_z | -0.240 |
| geom.primary_diameter | 15.0 |
| geom.secondary_shadow | 1.0 |
| int.secondary_defocus | 0.033500000000000002 |
| out.aperture_as_text | 0 |
| out.delete_old | 1 |
| out.farfield_conts | 1 2 3 4 5 10 20 30 40 50 60 70 80 90 |
| out.graph | 2 |
| out.loglevel | 8 |
| out.lut | heat |
| out.plot_device | gif |
| out.plot_height | 600 |
| out.plot_range | 80 |
| out.plot_range_largescale | 25 |
| out.plot_width | 800 |
| out.save_results | 1 |
| out.subdirspec | d |
| out.thumbnails | 1 |
| out.topdir | /home/janw/rxh3/Rxh3red |
| pan.bad_motor_file | |
| pan.edge_factor | 1.0 |
| pan.max_move | 100 |
| pan.min_weight | 0.1 |
| pan.panel_scale | 3.0 |
| pan.zernikes_to_ignore | |
| pan.zero_wt_outside | 1 |
Reduction started at: 20050120-105456
Reading data from rxh3-20050119-221027.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 = 2402.7 max = 2431.2 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.500 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 -3.26904 3.25439 -0.03071
loimag -3.35693 3.33008 0.01305
hireal -5.00000 4.99756 -0.54134
hiimag -5.00000 4.99756 -0.17071
xpos -2431.18323 2411.94273 -12.92628
ypos -2402.91200 2402.70268 -0.00526
plock160 0.95703 2.36084 1.71901
lorefpwr 0.21484 1.67725 1.22268
losigpwr -4.59961 -0.03418 -4.41974
hirefpwr 0.29297 1.71387 1.28050
hisigpwr -4.50928 4.99756 -0.71162
encltemp 31.68945 32.91016 32.19357
flags 0.00000 256.00000 2.76738
phi-lock -1.22559 0.14404 -0.56877
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.99697 1473.10141
zeropt -0.00732 -0.00244 -0.00490
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
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 = 40.00618 arcsec
Mean row spacing = 40.00622 arcsec (alternate estimator)
Mean tracking incline = 0.08882 arcsec
Mean pointing range = 0.61203 arcsec
Mean pointing rms = 0.10310 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (0, 0 ) 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: 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 = 2431.18 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 = 3.18337 at (0.0, -40.01493689163285) arcsec
Real: mean = 0.000633593 sum of squares = 1069.93
Imag: mean = -0.00155684 sum of squares = 935.003
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 = 3.19286 at (0.0, -40.013940751804832) arcsec
Real: mean = 0.00052944 sum of squares = 986.438
Imag: mean = -0.00207918 sum of squares = 1017.19
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 = 3.18953 at (0.0, -40.01294466157178) arcsec
Real: mean = 0.000717594 sum of squares = 914.176
Imag: mean = -0.00258969 sum of squares = 1089.11
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 = 3.19152 at (0.0, -40.011948620929999) arcsec
Real: mean = 0.0011388 sum of squares = 901.468
Imag: mean = -0.0029664 sum of squares = 1101.06
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 = 3.19843 at (0.0, -40.010952629875788) arcsec
Real: mean = 0.0016878 sum of squares = 959.998
Imag: mean = -0.00307338 sum of squares = 1043.23
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 = 3.22085 at (0.0, -40.009956688405431) arcsec
Real: mean = 0.00220591 sum of squares = 1051.52
Imag: mean = -0.00291274 sum of squares = 954.718
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 = 3.24668 at (0.0, 0.0) arcsec
Real: mean = 0.00262021 sum of squares = 1110.52
Imag: mean = -0.00261807 sum of squares = 900.861
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 = 3.25926 at (0.0, -40.007964954201512) arcsec
Real: mean = 0.00291486 sum of squares = 1092.42
Imag: mean = -0.00221747 sum of squares = 924.136
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 = 3.26571 at (0.0, -40.006969161460532) arcsec
Real: mean = 0.00303528 sum of squares = 1010.44
Imag: mean = -0.00170025 sum of squares = 1012.33
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 = 3.26647 at (0.0, -40.005973418288612) arcsec
Real: mean = 0.00280846 sum of squares = 930.064
Imag: mean = -0.00112066 sum of squares = 1097.96
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 = 3.25841 at (0.0, -40.004977724682043) arcsec
Real: mean = 0.00226932 sum of squares = 912.786
Imag: mean = -0.000780122 sum of squares = 1118.1
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 = 3.24306 at (0.0, -40.00398208063713) arcsec
Real: mean = 0.00178155 sum of squares = 970.791
Imag: mean = -0.000829538 sum of squares = 1061.37
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 = 3.23473 at (0.0, -40.002986486150171) arcsec
Real: mean = 0.0015002 sum of squares = 1060.6
Imag: mean = -0.00101289 sum of squares = 972.513
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 = 3.22873 at (0.0, -40.001990941217464) arcsec
Real: mean = 0.00129924 sum of squares = 1118.48
Imag: mean = -0.0012074 sum of squares = 917.395
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 = 3.23047 at (0.0, -40.000995445835301) arcsec
Real: mean = 0.00101009 sum of squares = 1107.49
Imag: mean = -0.00140391 sum of squares = 932.288
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 = 3.22607 at (0.0, -40.0) arcsec
Real: mean = 0.000804064 sum of squares = 1037.88
Imag: mean = -0.00191205 sum of squares = 1005.81
Masking frequency index 0
Mask scale size = 3.05915
Masking frequency index 1
Mask scale size = 3.05923
Masking frequency index 2
Mask scale size = 3.05931
Masking frequency index 3
Mask scale size = 3.05938
Masking frequency index 4
Mask scale size = 3.05946
Masking frequency index 5
Mask scale size = 3.05953
Masking frequency index 6
Mask scale size = 3.05961
Masking frequency index 7
Mask scale size = 3.05969
Masking frequency index 8
Mask scale size = 3.05976
Masking frequency index 9
Mask scale size = 3.05984
Masking frequency index 10
Mask scale size = 3.05992
Masking frequency index 11
Mask scale size = 3.05999
Masking frequency index 12
Mask scale size = 3.06007
Masking frequency index 13
Mask scale size = 3.06014
Masking frequency index 14
Mask scale size = 3.06022
Masking frequency index 15
Mask scale size = 3.0603
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0170898
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.16593 107.62
Freq 1: Shift, scale = -0.26759 106.41
Freq 2: Shift, scale = -0.7059 105.05
Freq 3: Shift, scale = -1.1437 103.25
Freq 4: Shift, scale = -1.5823 102.05
Freq 5: Shift, scale = -2.0211 101.01
Freq 6: Shift, scale = -2.4623 101.23
Freq 7: Shift, scale = -2.9093 102.12
Freq 8: Shift, scale = 2.925 103.65
Freq 9: Shift, scale = 2.4781 105.3
Freq 10: Shift, scale = 2.0362 106.84
Freq 11: Shift, scale = 1.6001 107.92
Freq 12: Shift, scale = 1.1686 108.89
Freq 13: Shift, scale = 0.73735 108.97
Freq 14: Shift, scale = 0.3066 108.55
Freq 15: Shift, scale = -0.12276 107.48
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: -0.313 radians
x offset: 0.37 arcsec
y offset: 13.5 arcsec
defocus: 0.248 mm
Estimated x pointing error is 0.3705 arcsec (used 0 arcsec)
Estimated y pointing error is 13.49 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.748 mm (used 2.5 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.31 radians
x offset: 0.379 arcsec
y offset: 13.5 arcsec
defocus: 0.245 mm
Estimated x pointing error is 0.3793 arcsec (used 0 arcsec)
Estimated y pointing error is 13.51 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.745 mm (used 2.5 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.299 radians
x offset: 0.112 arcsec
y offset: 13.5 arcsec
defocus: 0.253 mm
Estimated x pointing error is 0.1121 arcsec (used 0 arcsec)
Estimated y pointing error is 13.49 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.753 mm (used 2.5 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.301 radians
x offset: 0.126 arcsec
y offset: 13.5 arcsec
defocus: 0.252 mm
Estimated x pointing error is 0.1257 arcsec (used 0 arcsec)
Estimated y pointing error is 13.49 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.752 mm (used 2.5 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.302 radians
x offset: 0.132 arcsec
y offset: 13.5 arcsec
defocus: 0.252 mm
Estimated x pointing error is 0.1325 arcsec (used 0 arcsec)
Estimated y pointing error is 13.49 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.752 mm (used 2.5 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.306 radians
x offset: 0.129 arcsec
y offset: 13.5 arcsec
defocus: 0.249 mm
Estimated x pointing error is 0.1291 arcsec (used 0 arcsec)
Estimated y pointing error is 13.49 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.749 mm (used 2.5 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.311 radians
x offset: 0.123 arcsec
y offset: 13.5 arcsec
defocus: 0.249 mm
Estimated x pointing error is 0.1226 arcsec (used 0 arcsec)
Estimated y pointing error is 13.5 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.749 mm (used 2.5 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.32 radians
x offset: 0.146 arcsec
y offset: 13.5 arcsec
defocus: 0.25 mm
Estimated x pointing error is 0.1459 arcsec (used 0 arcsec)
Estimated y pointing error is 13.5 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.75 mm (used 2.5 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.331 radians
x offset: 0.189 arcsec
y offset: 13.5 arcsec
defocus: 0.252 mm
Estimated x pointing error is 0.1889 arcsec (used 0 arcsec)
Estimated y pointing error is 13.51 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.752 mm (used 2.5 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.341 radians
x offset: 0.253 arcsec
y offset: 13.5 arcsec
defocus: 0.251 mm
Estimated x pointing error is 0.2527 arcsec (used 0 arcsec)
Estimated y pointing error is 13.48 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.751 mm (used 2.5 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.346 radians
x offset: 0.32 arcsec
y offset: 13.4 arcsec
defocus: 0.25 mm
Estimated x pointing error is 0.3204 arcsec (used 0 arcsec)
Estimated y pointing error is 13.45 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.75 mm (used 2.5 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.345 radians
x offset: 0.37 arcsec
y offset: 13.4 arcsec
defocus: 0.247 mm
Estimated x pointing error is 0.3698 arcsec (used 0 arcsec)
Estimated y pointing error is 13.43 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.747 mm (used 2.5 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.34 radians
x offset: 0.401 arcsec
y offset: 13.4 arcsec
defocus: 0.244 mm
Estimated x pointing error is 0.4006 arcsec (used 0 arcsec)
Estimated y pointing error is 13.42 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.744 mm (used 2.5 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.334 radians
x offset: 0.421 arcsec
y offset: 13.4 arcsec
defocus: 0.24 mm
Estimated x pointing error is 0.4211 arcsec (used 0 arcsec)
Estimated y pointing error is 13.41 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.74 mm (used 2.5 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.329 radians
x offset: 0.441 arcsec
y offset: 13.4 arcsec
defocus: 0.237 mm
Estimated x pointing error is 0.4414 arcsec (used 0 arcsec)
Estimated y pointing error is 13.42 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.737 mm (used 2.5 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.32 radians
x offset: 0.458 arcsec
y offset: 13.4 arcsec
defocus: 0.236 mm
Estimated x pointing error is 0.4577 arcsec (used 0 arcsec)
Estimated y pointing error is 13.42 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.736 mm (used 2.5 mm)
Making masked surfaces in microns, and cubes
Fitting Zernikes
Fitting many Zernikes for frequency 0
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 -0.00016 piston
1 1 -0.00164 tilt_x
1 -1 0.01922 tilt_y
2 2 0.04355 astigmatism_0
2 0 0.00376 curvature
2 -2 0.06779 astigmatism45
3 3 -0.02113 trefoil_0
3 1 -0.02574 coma_x
3 -1 0.03736 coma_y
3 -3 -0.08017 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 -0.00006 piston
1 1 -0.00094 tilt_x
1 -1 0.01910 tilt_y
2 2 0.04144 astigmatism_0
2 0 0.00423 curvature
2 -2 0.06744 astigmatism45
3 3 -0.02227 trefoil_0
3 1 -0.02266 coma_x
3 -1 0.03728 coma_y
3 -3 -0.07961 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 -0.00060 piston
1 1 -0.00831 tilt_x
1 -1 0.02085 tilt_y
2 2 0.05549 astigmatism_0
2 0 0.00148 curvature
2 -2 0.06612 astigmatism45
3 3 -0.00934 trefoil_0
3 1 -0.04815 coma_x
3 -1 0.04180 coma_y
3 -3 -0.08003 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 -0.00056 piston
1 1 -0.00687 tilt_x
1 -1 0.02150 tilt_y
2 2 0.05386 astigmatism_0
2 0 0.00198 curvature
2 -2 0.06603 astigmatism45
3 3 -0.01064 trefoil_0
3 1 -0.04282 coma_x
3 -1 0.04371 coma_y
3 -3 -0.07863 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 -0.00059 piston
1 1 -0.00579 tilt_x
1 -1 0.02225 tilt_y
2 2 0.05347 astigmatism_0
2 0 0.00214 curvature
2 -2 0.06670 astigmatism45
3 3 -0.01220 trefoil_0
3 1 -0.03917 coma_x
3 -1 0.04554 coma_y
3 -3 -0.07769 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 -0.00065 piston
1 1 -0.00449 tilt_x
1 -1 0.02249 tilt_y
2 2 0.05411 astigmatism_0
2 0 0.00210 curvature
2 -2 0.06752 astigmatism45
3 3 -0.01424 trefoil_0
3 1 -0.03538 coma_x
3 -1 0.04597 coma_y
3 -3 -0.07811 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 -0.00066 piston
1 1 -0.00389 tilt_x
1 -1 0.02269 tilt_y
2 2 0.05514 astigmatism_0
2 0 0.00200 curvature
2 -2 0.06847 astigmatism45
3 3 -0.01583 trefoil_0
3 1 -0.03408 coma_x
3 -1 0.04626 coma_y
3 -3 -0.07886 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 -0.00060 piston
1 1 -0.00336 tilt_x
1 -1 0.02213 tilt_y
2 2 0.05447 astigmatism_0
2 0 0.00202 curvature
2 -2 0.06867 astigmatism45
3 3 -0.01781 trefoil_0
3 1 -0.03275 coma_x
3 -1 0.04478 coma_y
3 -3 -0.07828 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 -0.00051 piston
1 1 -0.00265 tilt_x
1 -1 0.02073 tilt_y
2 2 0.05363 astigmatism_0
2 0 0.00224 curvature
2 -2 0.06804 astigmatism45
3 3 -0.01916 trefoil_0
3 1 -0.03101 coma_x
3 -1 0.04103 coma_y
3 -3 -0.07790 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 -0.00040 piston
1 1 -0.00221 tilt_x
1 -1 0.02004 tilt_y
2 2 0.05084 astigmatism_0
2 0 0.00253 curvature
2 -2 0.06672 astigmatism45
3 3 -0.02013 trefoil_0
3 1 -0.02940 coma_x
3 -1 0.03943 coma_y
3 -3 -0.07781 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 -0.00033 piston
1 1 -0.00150 tilt_x
1 -1 0.01959 tilt_y
2 2 0.04895 astigmatism_0
2 0 0.00289 curvature
2 -2 0.06608 astigmatism45
3 3 -0.02162 trefoil_0
3 1 -0.02702 coma_x
3 -1 0.03861 coma_y
3 -3 -0.07660 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 -0.00031 piston
1 1 -0.00120 tilt_x
1 -1 0.01994 tilt_y
2 2 0.04750 astigmatism_0
2 0 0.00310 curvature
2 -2 0.06631 astigmatism45
3 3 -0.02306 trefoil_0
3 1 -0.02582 coma_x
3 -1 0.03978 coma_y
3 -3 -0.07646 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 -0.00027 piston
1 1 -0.00111 tilt_x
1 -1 0.02005 tilt_y
2 2 0.04619 astigmatism_0
2 0 0.00338 curvature
2 -2 0.06698 astigmatism45
3 3 -0.02413 trefoil_0
3 1 -0.02504 coma_x
3 -1 0.04026 coma_y
3 -3 -0.07469 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 -0.00023 piston
1 1 -0.00113 tilt_x
1 -1 0.02037 tilt_y
2 2 0.04575 astigmatism_0
2 0 0.00360 curvature
2 -2 0.06618 astigmatism45
3 3 -0.02584 trefoil_0
3 1 -0.02467 coma_x
3 -1 0.04159 coma_y
3 -3 -0.07525 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 -0.00017 piston
1 1 -0.00072 tilt_x
1 -1 0.02083 tilt_y
2 2 0.04504 astigmatism_0
2 0 0.00401 curvature
2 -2 0.06591 astigmatism45
3 3 -0.02611 trefoil_0
3 1 -0.02297 coma_x
3 -1 0.04322 coma_y
3 -3 -0.07571 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 -0.00008 piston
1 1 -0.00006 tilt_x
1 -1 0.02100 tilt_y
2 2 0.04412 astigmatism_0
2 0 0.00446 curvature
2 -2 0.06541 astigmatism45
3 3 -0.02784 trefoil_0
3 1 -0.02044 coma_x
3 -1 0.04408 coma_y
3 -3 -0.07599 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: 27.9 22.5 19.5 32.9 25.6 32.9 45.6 35.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.5 24 19.4 31.7 24 28.1 38.3 31.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.61 5.05 6.91 8.57 10.8 14.9 21.9 14.2
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 22.5 19.6 35.1 25.8 33.2 45.7 36
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.6 24 19.6 34.1 24.3 28.3 38.5 32.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.51 4.87 6.69 8.37 10.7 14.8 21.6 14
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 22 19.2 36.5 25.4 33.4 46.2 36.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 23.6 19.8 35.2 24.3 28.6 39 33.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.66 6.95 9.07 10.4 11.8 15.5 23.2 15.3
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 21.8 19 33.6 25.3 33.7 46.6 36.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 23.5 19.4 32.3 24.3 28.9 39.4 33
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.51 6.68 8.76 10.1 11.5 15.2 22.8 15
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 21.6 18.6 31.4 25.3 33.7 47.1 36
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.3 23.4 18.8 30.3 24.2 29.1 39.8 32.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.45 6.56 8.63 9.98 11.5 15.2 22.7 15
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.6 21.6 19.2 30.2 25.5 34.2 47.8 36
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.6 23.5 19.2 29.1 24.3 29.5 40.3 32.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.33 6.36 8.41 9.84 11.5 15.4 22.8 15
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.2 21.8 20.2 29.3 25.9 34.2 48.6 36.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 23.7 20.1 28.3 24.6 29.6 40.8 32.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.3 6.31 8.38 9.86 11.7 15.6 23.1 15.2
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 22.2 21 28.8 26.1 34.3 48.8 36
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.6 23.9 20.9 27.7 24.8 29.7 41.1 32.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.19 6.11 8.15 9.68 11.6 15.5 22.9 15.1
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.7 22.5 21.1 29.2 25.9 34 48.7 35.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.5 24.1 21.1 28 24.6 29.3 41.1 32.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.96 5.69 7.67 9.28 11.4 15.4 22.6 14.8
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 22.5 21 29.4 25.5 33.7 48 35.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.6 24 21.1 27.9 24.3 29.1 40.5 31.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.83 5.45 7.37 8.97 11.1 15.1 22.2 14.5
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 22.4 19.8 27.9 25.2 33.2 47.3 34.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.4 24 19.9 26.2 24 28.6 39.7 31.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.71 5.23 7.11 8.72 10.9 14.9 21.8 14.2
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29 22.3 17.7 28.8 25 33.3 46.6 34.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.7 23.9 17.7 27.1 23.9 28.6 39 30.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.73 5.26 7.14 8.73 10.8 14.8 21.7 14.2
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 22.6 19 29.3 24.9 33.3 46.1 34.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 24.2 18.8 27.7 23.9 28.5 38.5 31
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.73 5.26 7.13 8.7 10.8 14.7 21.5 14.1
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 22.6 19.6 30.2 25 33.6 45.7 34.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 24.3 19.4 28.7 23.9 28.7 38.1 31.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.78 5.35 7.22 8.76 10.8 14.7 21.6 14.1
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.6 22.6 19.9 31.6 24.9 33.9 45.8 35.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.4 24.4 19.7 30.2 23.9 28.9 38.1 31.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.81 5.4 7.28 8.79 10.8 14.7 21.6 14.1
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 22.3 19.9 33.9 25.1 34 45.8 36
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 24.1 19.8 32.5 24 28.9 38.3 32.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.79 5.36 7.23 8.74 10.7 14.6 21.6 14.1
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 24.7 20.8 16.8 22.2 23.4 31.9 45.8 33.2
Mean deviation is 1.3339360421825679 microns
Taper = 10 dB, Ruze illumination-weighted rms = 31.7 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 = 28.0 micron
Centre pixel: 64.0 64.0 Value = 2771.19 (estimate), 3708.89 (perfect)
Strehl = 0.55827
Strehl ratio estimate = 0.5583
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 = 27.2 micron
Centre pixel: 64.0 64.0 Value = 2192.47 (estimate), 3708.89 (perfect)
Strehl = 0.349446
Strehl ratio estimate = 0.3494
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 14.7 7.6 6.0 17.6
2 1 2 20.3 12.0 31.8 39.6
3 1 3 42.3 30.7 0.9 52.3
4 1 4 58.9 14.6 12.9 62.0
5 1 5 51.1 35.5 70.9 94.4
6 1 6 52.8 50.2 52.0 89.5
7 1 7 37.4 54.8 56.6 87.2
8 1 8 32.3 50.7 62.6 86.7
9 1 9 -25.3 26.0 22.6 42.7
10 1 10 25.7 27.4 30.1 48.1
11 1 11 49.1 28.1 25.2 61.9
12 1 12 34.7 8.6 9.4 37.0
13 2 1 15.6 -30.9 -28.1 44.6
14 2 2 10.3 -2.8 -10.0 14.6
15 2 3 31.2 -20.5 -20.6 42.6
16 2 4 25.9 -14.4 -5.4 30.1
17 2 5 36.9 -1.2 20.7 42.4
18 2 6 28.8 34.9 38.1 59.2
19 2 7 16.3 9.0 15.4 24.2
20 2 8 41.5 14.0 -6.0 44.2
21 2 9 44.2 -0.6 14.8 46.6
22 2 10 44.0 13.3 23.3 51.5
23 2 11 46.8 10.4 4.9 48.2
24 2 12 43.1 3.4 0.4 43.3
25 2 13 50.5 0.2 -7.7 51.1
26 2 14 41.7 -7.5 4.8 42.6
27 2 15 57.1 3.6 -0.6 57.2
28 2 16 47.7 17.4 6.2 51.2
29 2 17 24.7 5.0 -8.6 26.6
30 2 18 25.1 -3.5 -5.3 25.9
31 2 19 17.6 -16.3 -13.9 27.7
32 2 20 26.4 -19.0 -12.2 34.7
33 2 21 27.8 -7.4 -16.2 33.0
34 2 22 20.0 -18.1 -23.7 35.9
35 2 23 35.5 -11.9 -6.6 38.0
36 2 24 10.4 -18.3 -23.0 31.1
37 3 1 -14.8 -5.4 -3.6 16.1
38 3 2 -12.1 -4.8 -0.7 13.1
39 3 3 -22.9 -6.5 -5.0 24.3
40 3 4 -13.4 -8.4 15.7 22.3
41 3 5 -25.5 2.0 11.4 28.0
42 3 6 -20.7 -1.8 -0.7 20.8
43 3 7 -11.1 -3.2 -16.4 20.0
44 3 8 1.9 2.0 -4.0 4.9
45 3 9 27.2 0.8 0.5 27.2
46 3 10 6.1 13.2 6.6 15.9
47 3 11 25.3 14.5 3.3 29.4
48 3 12 13.7 34.4 4.3 37.3
49 3 13 -11.0 21.7 -9.7 26.2
50 3 14 3.0 -6.6 -5.9 9.3
51 3 15 -8.0 -5.8 3.8 10.6
52 3 16 7.5 7.0 4.8 11.4
53 3 17 24.8 14.5 1.7 28.8
54 3 18 27.4 7.3 -2.4 28.5
55 3 19 24.2 5.9 -35.5 43.4
56 3 20 1.8 -5.3 -19.0 19.8
57 3 21 4.5 -11.6 -10.2 16.1
58 3 22 -10.3 -7.4 -11.7 17.3
59 3 23 5.6 -8.2 -17.8 20.4
60 3 24 -17.4 -15.7 -33.9 41.2
61 3 25 -7.8 -18.7 -22.6 30.4
62 3 26 -12.2 -9.6 -14.4 21.2
63 3 27 -15.4 -6.6 -11.9 20.6
64 3 28 10.8 -14.3 -18.0 25.4
65 3 29 7.1 -11.6 -16.7 21.6
66 3 30 6.1 -17.6 -38.7 42.9
67 3 31 11.7 -2.4 -20.3 23.6
68 3 32 13.9 6.6 -14.7 21.2
69 3 33 14.9 6.0 7.4 17.7
70 3 34 9.0 -10.9 5.8 15.3
71 3 35 26.3 -6.4 -27.1 38.3
72 3 36 8.8 -7.8 -21.8 24.7
73 3 37 3.0 -10.0 -29.4 31.2
74 3 38 13.2 8.0 -14.8 21.4
75 3 39 6.6 4.6 -10.0 12.9
76 3 40 18.9 -0.3 -8.7 20.8
77 3 41 17.7 6.6 -6.6 20.0
78 3 42 0.4 8.5 -6.4 10.6
79 3 43 -4.1 8.2 -3.6 9.9
80 3 44 8.1 2.8 6.6 10.8
81 3 45 14.8 -4.9 -1.7 15.7
82 3 46 -7.5 0.1 -3.7 8.4
83 3 47 -8.1 -1.7 -3.4 8.9
84 3 48 -16.9 -5.0 -18.0 25.2
85 4 1 -24.1 -31.0 -11.6 41.0
86 4 2 2.9 -29.0 -54.5 61.8
87 4 3 -4.9 -23.8 -42.1 48.7
88 4 4 5.2 -9.1 -51.8 52.8
89 4 5 19.3 -2.5 -21.3 28.9
90 4 6 19.8 4.5 -9.5 22.4
91 4 7 21.2 3.7 8.1 23.0
92 4 8 -8.1 9.0 -0.2 12.1
93 4 9 5.2 2.2 -6.2 8.4
94 4 10 8.8 7.7 -12.6 17.2
95 4 11 -6.7 -0.5 -40.7 41.2
96 4 12 -44.7 -36.8 24.5 62.9
97 4 13 -5.2 -1.3 12.2 13.3
98 4 14 8.9 -10.2 -33.6 36.2
99 4 15 -8.2 -8.9 -1.2 12.2
100 4 16 -10.8 4.2 2.2 11.8
101 4 17 -12.5 3.9 -23.5 26.9
102 4 18 4.0 -19.4 -7.9 21.3
103 4 19 -15.8 -20.0 -36.7 44.7
104 4 20 -22.1 -17.5 -38.2 47.5
105 4 21 -21.3 -26.2 -28.9 44.4
106 4 22 -47.6 -19.8 -3.7 51.7
107 4 23 -38.2 -27.2 -37.3 59.9
108 4 24 -38.3 -24.9 -0.7 45.7
109 4 25 -47.1 -20.9 27.5 58.4
110 4 26 -29.1 -37.0 -41.6 62.8
111 4 27 -30.3 -27.9 -14.6 43.7
112 4 28 -27.6 -30.8 -22.0 46.8
113 4 29 -41.4 -18.1 -70.0 83.4
114 4 30 -39.0 -29.5 -20.5 53.0
115 4 31 -32.1 -30.2 -15.1 46.6
116 4 32 -35.6 -11.4 -28.1 46.7
117 4 33 -24.9 -4.6 -5.5 25.9
118 4 34 4.7 -9.2 -18.8 21.5
119 4 35 -21.3 -24.5 -51.6 61.0
120 4 36 -47.6 -18.6 -37.8 63.6
121 4 37 -6.1 -10.1 -11.4 16.4
122 4 38 -11.2 -2.3 -41.9 43.4
123 4 39 1.7 3.5 -3.7 5.4
124 4 40 -6.5 0.7 -4.3 7.9
125 4 41 -3.7 11.3 9.3 15.1
126 4 42 12.7 0.9 3.7 13.3
127 4 43 16.9 0.3 7.8 18.6
128 4 44 7.9 14.6 7.1 18.0
129 4 45 5.3 8.0 -1.5 9.8
130 4 46 6.0 -11.3 -18.9 22.8
131 4 47 -4.6 -12.3 -37.1 39.4
132 4 48 -8.7 -25.6 -9.4 28.6
133 5 1 -16.9 -2.8 -10.2 20.0
134 5 2 -25.9 -13.3 -8.5 30.4
135 5 3 -16.3 -16.0 -30.0 37.7
136 5 4 -9.6 -13.3 5.1 17.2
137 5 5 -17.2 -5.6 -25.1 30.9
138 5 6 5.6 1.8 -30.8 31.3
139 5 7 17.2 11.1 5.3 21.1
140 5 8 13.4 27.0 -9.3 31.5
141 5 9 6.5 20.8 12.6 25.2
142 5 10 -10.2 -8.9 -36.4 38.8
143 5 11 -4.7 -6.1 2.8 8.2
144 5 12 -12.7 14.0 10.5 21.7
145 5 13 -13.2 8.2 1.0 15.6
146 5 14 -12.5 4.8 0.4 13.4
147 5 15 -0.4 -13.4 -26.5 29.7
148 5 16 0.9 -4.8 3.3 5.9
149 5 17 -16.9 -4.6 3.5 17.9
150 5 18 -10.2 -23.8 177.1 179.0
151 5 19 -31.3 -20.5 -12.5 39.5
152 5 20 -24.6 1.2 -7.2 25.7
153 5 21 -10.5 0.8 0.1 10.6
154 5 22 -14.4 -16.1 -24.4 32.6
155 5 23 -24.5 -4.2 1.0 24.9
156 5 24 -3.9 -2.3 -5.6 7.2
157 5 25 -7.4 -5.2 -15.6 18.0
158 5 26 -17.0 -15.4 -10.5 25.2
159 5 27 -12.8 -27.5 -56.3 63.9
160 5 28 -3.4 -17.8 -36.4 40.6
161 5 29 -21.4 -13.4 -28.2 37.9
162 5 30 -24.2 -25.5 -20.5 40.7
163 5 31 -12.4 -21.9 -27.9 37.6
164 5 32 -26.0 -28.1 -13.4 40.6
165 5 33 14.2 -31.2 -9.2 35.5
166 5 34 -23.5 -45.6 -45.7 68.7
167 5 35 -16.9 -39.2 21.5 47.8
168 5 36 -12.2 -3.1 -6.3 14.1
169 5 37 3.8 -1.3 1.7 4.3
170 5 38 -1.7 -2.8 -5.8 6.6
171 5 39 -2.9 -5.8 -40.6 41.1
172 5 40 5.4 10.4 -11.1 16.2
173 5 41 17.5 16.2 24.7 34.4
174 5 42 4.1 10.3 2.7 11.4
175 5 43 15.1 14.5 -12.3 24.3
176 5 44 18.8 14.2 -17.1 29.1
177 5 45 18.7 9.5 -20.6 29.4
178 5 46 15.2 -18.6 -30.4 38.7
179 5 47 -8.1 -18.7 -18.1 27.3
180 5 48 -7.3 -3.7 -15.9 17.9
181 6 1 -13.5 -39.4 -60.9 73.8
182 6 2 -10.3 -36.1 -76.4 85.1
183 6 3 -23.4 -26.5 -60.6 70.1
184 6 4 -20.3 -6.1 -113.2 115.2
185 6 5 -7.8 -14.1 -23.3 28.4
186 6 6 -5.0 -8.1 -25.6 27.3
187 6 7 -1.1 -10.9 -18.6 21.6
188 6 8 -11.1 16.6 -26.4 33.1
189 6 9 3.1 12.2 -38.7 40.7
190 6 10 -36.0 25.0 -2.8 43.9
191 6 11 -1.8 12.1 -10.2 15.9
192 6 12 -0.7 18.1 -3.7 18.5
193 6 13 1.1 18.1 1.4 18.1
194 6 14 -8.9 3.8 2.4 10.0
195 6 15 -20.8 5.8 -2.6 21.7
196 6 16 -15.2 8.8 -49.7 52.7
197 6 17 -25.0 -6.5 -10.1 27.7
198 6 18 -27.2 2.6 13.3 30.4
199 6 19 -7.6 -4.8 34.4 35.5
200 6 20 -3.0 30.7 41.1 51.4
201 6 21 -31.1 21.0 -24.0 44.5
202 6 22 -32.4 27.0 34.6 54.5
203 6 23 2.4 25.5 55.4 61.1
204 6 24 -9.6 12.2 41.3 44.1
205 6 25 -18.1 11.4 -3.4 21.7
206 6 26 0.6 -4.9 4.1 6.4
207 6 27 -61.5 1.7 -14.2 63.1
208 6 28 -77.2 -25.7 -56.9 99.3
209 6 29 -73.9 -13.5 -16.0 76.8
210 6 30 -41.7 -32.4 22.3 57.3
211 6 31 -24.6 -29.3 -14.2 40.8
212 6 32 -44.4 -19.7 -18.0 51.8
213 6 33 -74.7 1.8 -95.5 121.3
214 6 34 -117.1 24.2 -12.8 120.3
215 6 35 -2.2 4.9 40.7 41.1
216 6 36 -10.5 44.0 62.6 77.2
217 6 37 0.1 29.5 55.1 62.5
218 6 38 15.5 17.1 34.1 41.2
219 6 39 -29.4 31.7 44.1 61.8
220 6 40 -38.7 42.6 -15.3 59.6
221 6 41 4.1 46.2 15.5 48.9
222 6 42 20.4 17.7 41.1 49.2
223 6 43 2.8 17.2 26.3 31.6
224 6 44 2.8 9.1 12.2 15.5
225 6 45 -25.1 19.7 -93.2 98.5
226 6 46 -69.0 -5.3 -30.7 75.7
227 6 47 -16.4 -25.5 -42.9 52.5
228 6 48 -20.3 -38.8 -47.5 64.6
229 7 1 -85.0 -26.5 -80.9 120.3
230 7 2 -68.1 -65.1 -105.6 141.6
231 7 3 -22.8 -63.1 -77.2 102.3
232 7 4 -21.1 -96.6 -12.3 99.7
233 7 5 0.5 -38.4 -13.8 40.8
234 7 6 -11.7 18.4 -20.9 30.2
235 7 7 -12.0 12.3 15.7 23.3
236 7 8 26.6 12.0 -28.3 40.6
237 7 9 39.0 -54.9 63.9 92.8
238 7 10 40.7 50.6 43.2 78.0
239 7 11 0.2 35.5 -4.2 35.8
240 7 12 -2.8 39.9 24.9 47.1
241 7 13 10.6 44.4 40.7 61.2
242 7 14 11.8 48.2 30.9 58.4
243 7 15 -3.5 27.1 20.6 34.2
244 7 16 23.2 -49.3 51.7 75.1
245 7 17 33.4 10.2 38.3 51.8
246 7 18 19.2 71.9 42.9 85.9
247 7 19 46.5 63.3 89.8 119.3
248 7 20 76.5 39.9 69.8 111.0
249 7 21 55.7 11.5 120.9 133.6
250 7 22 42.6 83.1 85.5 126.6
251 7 23 44.8 74.9 62.0 107.1
252 7 24 8.7 71.7 102.2 125.2
253 7 25 -20.7 69.5 71.0 101.5
254 7 26 6.7 51.5 51.5 73.2
255 7 27 -24.2 45.7 28.2 58.9
256 7 28 -24.2 -52.8 324.4 329.6
257 7 29 18.1 -70.7 -27.2 77.9
258 7 30 -6.8 -19.9 -53.0 57.1
259 7 31 -37.0 -16.8 -30.8 51.0
260 7 32 8.9 -11.5 -45.9 48.1
261 7 33 -42.7 -5.2 30.3 52.6
262 7 34 15.4 54.9 -21.9 61.1
263 7 35 28.2 57.7 20.0 67.3
264 7 36 46.3 72.2 49.1 98.8
265 7 37 46.9 73.8 64.4 108.6
266 7 38 54.6 53.9 26.9 81.3
267 7 39 70.9 77.0 45.7 114.3
268 7 40 83.8 22.2 78.4 116.9
269 7 41 79.4 55.6 63.7 116.0
270 7 42 57.5 34.3 49.4 83.2
271 7 43 -25.5 42.8 -10.8 50.9
272 7 44 36.4 16.9 17.0 43.6
273 7 45 6.8 -47.6 20.6 52.3
274 7 46 7.0 0.4 13.2 14.9
275 7 47 -17.9 5.9 -66.0 68.6
276 7 48 -44.8 120.6 -10.9 129.1
Creating sector-motor-move file
sector motor steps
1 1 -3
1 2 -29
1 3 -6
1 4 -34
1 5 -1
1 6 -6
1 7 -23
1 8 -19
1 9 -7
1 10 -18
1 11 -8
1 12 -7
1 13 -32
1 14 -19
1 15 -20
1 16 -23
1 17 -11
1 18 -3
1 19 -24
1 20 -8
1 21 -26
1 22 -18
1 23 -12
1 24 -4
1 25 1
1 26 -4
1 27 -2
1 28 -15
1 29 -2
1 30 1
1 31 -9
1 32 -4
1 33 -5
1 34 -12
1 35 -7
1 36 -1
1 37 -2
1 38 -4
1 39 -7
1 40 -16
1 41 -8
1 42 0
1 43 -3
1 44 0
1 45 -5
1 46 -3
1 47 -9
1 48 -7
1 49 -1
1 50 -2
1 51 -7
1 52 -3
1 53 0
1 54 3
1 55 0
1 56 -1
1 57 -3
1 58 2
1 59 4
1 60 1
1 61 -1
1 62 -1
1 63 -4
1 64 -6
1 65 4
1 66 -8
1 67 4
1 68 -2
1 69 -4
2 1 -8
2 2 3
2 3 8
2 4 -8
2 5 5
2 6 -3
2 7 4
2 8 3
2 9 -3
2 10 -5
2 11 -3
2 12 0
2 13 -6
2 14 5
2 15 -3
2 16 -7
2 17 -2
2 18 -1
2 19 -4
2 20 -11
2 21 0
2 22 -7
2 23 -4
2 24 -2
2 25 -2
2 26 8
2 27 4
2 28 0
2 29 2
2 30 -2
2 31 1
2 32 3
2 33 5
2 34 2
2 35 1
2 36 6
2 37 -9
2 38 0
2 39 1
2 40 -2
2 41 1
2 42 6
2 43 -7
2 44 -1
2 45 -5
2 46 -6
2 47 0
2 48 5
2 49 -5
2 50 0
2 51 -3
2 52 -1
2 53 -4
2 54 7
2 55 0
2 56 0
2 57 -6
2 58 3
2 59 6
2 60 9
2 61 3
2 62 0
2 63 -7
2 64 0
2 65 9
2 66 -6
2 67 -1
2 68 0
2 69 0
3 1 7
3 2 12
3 3 0
3 4 -1
3 5 5
3 6 0
3 7 -1
3 8 10
3 9 0
3 10 -3
3 11 3
3 12 0
3 13 13
3 14 15
3 15 12
3 16 0
3 17 7
3 18 -11
3 19 19
3 20 -16
3 21 11
3 22 -11
3 23 3
3 24 0
3 25 3
3 26 4
3 27 -3
3 28 7
3 29 -11
3 30 -13
3 31 0
3 32 -1
3 33 -1
3 34 -12
3 35 0
3 36 -2
3 37 -11
3 38 -2
3 39 -3
3 40 -3
3 41 2
3 42 2
3 43 3
3 44 6
3 45 2
3 46 -1
3 47 0
3 48 1
3 49 1
3 50 4
3 51 7
3 52 11
3 53 10
3 54 8
3 55 2
3 56 4
3 57 1
3 58 9
3 59 12
3 60 0
3 61 0
3 62 0
3 63 8
3 64 2
3 65 11
3 66 6
3 67 1
3 68 10
3 69 4
4 1 15
4 2 -15
4 3 7
4 4 -15
4 5 2
4 6 -4
4 7 6
4 8 8
4 9 -1
4 10 0
4 11 1
4 12 -6
4 13 9
4 14 14
4 15 3
4 16 0
4 17 1
4 18 -2
4 19 12
4 20 13
4 21 3
4 22 0
4 23 5
4 24 0
4 25 1
4 26 -1
4 27 0
4 28 0
4 29 1
4 30 -3
4 31 -8
4 32 -4
4 33 0
4 34 0
4 35 -2
4 36 -2
4 37 0
4 38 1
4 39 -3
4 40 -10
4 41 -3
4 42 2
4 43 0
4 44 2
4 45 -4
4 46 3
4 47 0
4 48 -1
4 49 1
4 50 -1
4 51 -2
4 52 -1
4 53 4
4 54 12
4 55 -1
4 56 -2
4 57 0
4 58 4
4 59 18
4 60 3
4 61 -2
4 62 6
4 63 -3
4 64 0
4 65 5
4 66 4
4 67 1
4 68 2
4 69 2
5 1 21
5 2 12
5 3 23
5 4 12
5 5 9
5 6 0
5 7 27
5 8 19
5 9 14
5 10 10
5 11 -1
5 12 -2
5 13 13
5 14 22
5 15 5
5 16 4
5 17 0
5 18 -8
5 19 11
5 20 3
5 21 10
5 22 -3
5 23 -1
5 24 -7
5 25 -2
5 26 0
5 27 -7
5 28 -11
5 29 -5
5 30 -6
5 31 -3
5 32 -6
5 33 -9
5 34 -11
5 35 -6
5 36 -4
5 37 54
5 38 -7
5 39 -3
5 40 -2
5 41 -5
5 42 1
5 43 1
5 44 -1
5 45 -5
5 46 -7
5 47 1
5 48 -3
5 49 -10
5 50 1
5 51 7
5 52 7
5 53 4
5 54 13
5 55 0
5 56 2
5 57 8
5 58 10
5 59 15
5 60 21
5 61 0
5 62 4
5 63 7
5 64 3
5 65 13
5 66 4
5 67 -5
5 68 -1
5 69 0
6 1 31
6 2 21
6 3 2
6 4 12
6 5 3
6 6 -2
6 7 19
6 8 22
6 9 13
6 10 16
6 11 7
6 12 0
6 13 26
6 14 25
6 15 13
6 16 10
6 17 8
6 18 -9
6 19 37
6 20 3
6 21 17
6 22 -7
6 23 6
6 24 -9
6 25 -1
6 26 0
6 27 -1
6 28 0
6 29 -7
6 30 -11
6 31 0
6 32 -1
6 33 -7
6 34 -11
6 35 -8
6 36 -11
6 37 -7
6 38 -4
6 39 -4
6 40 -1
6 41 -6
6 42 -14
6 43 0
6 44 0
6 45 -3
6 46 -8
6 47 -8
6 48 -6
6 49 -5
6 50 -2
6 51 1
6 52 0
6 53 1
6 54 13
6 55 -3
6 56 -2
6 57 -3
6 58 15
6 59 16
6 60 15
6 61 -3
6 62 -3
6 63 1
6 64 0
6 65 14
6 66 1
6 67 -10
6 68 -4
6 69 -5
7 1 99
7 2 -16
7 3 -7
7 4 -17
7 5 -7
7 6 -23
7 7 8
7 8 14
7 9 -7
7 10 -4
7 11 0
7 12 -18
7 13 15
7 14 15
7 15 2
7 16 1
7 17 -1
7 18 0
7 19 21
7 20 21
7 21 -6
7 22 -1
7 23 3
7 24 -5
7 25 -11
7 26 -5
7 27 -1
7 28 -6
7 29 -9
7 30 -8
7 31 -17
7 32 -8
7 33 -3
7 34 -4
7 35 -8
7 36 -9
7 37 -3
7 38 -4
7 39 -5
7 40 -12
7 41 -11
7 42 -8
7 43 -4
7 44 -1
7 45 -2
7 46 8
7 47 -6
7 48 -14
7 49 -3
7 50 -2
7 51 -4
7 52 1
7 53 -2
7 54 12
7 55 -4
7 56 -2
7 57 -3
7 58 16
7 59 11
7 60 17
7 61 -6
7 62 -5
7 63 -2
7 64 1
7 65 15
7 66 -2
7 67 -5
7 68 -4
7 69 3
8 1 -14
8 2 -3
8 3 2
8 4 -5
8 5 -6
8 6 -13
8 7 -9
8 8 -5
8 9 -11
8 10 -4
8 11 -8
8 12 -7
8 13 -16
8 14 -6
8 15 -2
8 16 6
8 17 -9
8 18 -12
8 19 -8
8 20 -21
8 21 5
8 22 -4
8 23 -4
8 24 -22
8 25 -4
8 26 -8
8 27 -7
8 28 -8
8 29 -3
8 30 -10
8 31 -8
8 32 -6
8 33 -3
8 34 -4
8 35 -9
8 36 -9
8 37 -6
8 38 -7
8 39 -7
8 40 -6
8 41 -9
8 42 -11
8 43 -8
8 44 -4
8 45 -6
8 46 -21
8 47 -5
8 48 -12
8 49 -6
8 50 0
8 51 3
8 52 1
8 53 5
8 54 14
8 55 -11
8 56 -5
8 57 1
8 58 15
8 59 9
8 60 19
8 61 -5
8 62 -3
8 63 2
8 64 1
8 65 17
8 66 0
8 67 -4
8 68 2
8 69 4
9 1 15
9 2 22
9 3 14
9 4 19
9 5 13
9 6 -3
9 7 6
9 8 17
9 9 8
9 10 12
9 11 1
9 12 0
9 13 -6
9 14 16
9 15 4
9 16 -3
9 17 7
9 18 -35
9 19 9
9 20 -1
9 21 -13
9 22 -29
9 23 0
9 24 -22
9 25 -1
9 26 0
9 27 -3
9 28 -11
9 29 -5
9 30 -14
9 31 6
9 32 -12
9 33 -5
9 34 -15
9 35 -7
9 36 -6
9 37 -14
9 38 -13
9 39 -7
9 40 -5
9 41 -2
9 42 1
9 43 -2
9 44 -9
9 45 4
9 46 -1
9 47 -1
9 48 -7
9 49 -8
9 50 -1
9 51 8
9 52 -1
9 53 -1
9 54 7
9 55 1
9 56 -3
9 57 2
9 58 7
9 59 -7
9 60 6
9 61 2
9 62 1
9 63 4
9 64 -4
9 65 7
9 66 -2
9 67 -6
9 68 -2
9 69 2
10 1 24
10 2 6
10 3 25
10 4 -4
10 5 13
10 6 -11
10 7 14
10 8 23
10 9 21
10 10 13
10 11 9
10 12 -9
10 13 8
10 14 16
10 15 16
10 16 10
10 17 5
10 18 4
10 19 19
10 20 22
10 21 14
10 22 16
10 23 9
10 24 0
10 25 -3
10 26 3
10 27 1
10 28 -1
10 29 0
10 30 -2
10 31 -12
10 32 -1
10 33 0
10 34 -1
10 35 1
10 36 0
10 37 -1
10 38 0
10 39 0
10 40 -12
10 41 0
10 42 -3
10 43 0
10 44 0
10 45 1
10 46 -3
10 47 -3
10 48 -1
10 49 -3
10 50 1
10 51 2
10 52 -3
10 53 -5
10 54 8
10 55 -4
10 56 2
10 57 4
10 58 8
10 59 7
10 60 9
10 61 -9
10 62 -3
10 63 0
10 64 -2
10 65 5
10 66 -4
10 67 -2
10 68 0
10 69 5
11 1 5
11 2 5
11 3 11
11 4 3
11 5 2
11 6 0
11 7 -3
11 8 13
11 9 -7
11 10 8
11 11 5
11 12 0
11 13 15
11 14 10
11 15 17
11 16 12
11 17 5
11 18 6
11 19 19
11 20 17
11 21 24
11 22 4
11 23 14
11 24 1
11 25 -5
11 26 4
11 27 5
11 28 2
11 29 4
11 30 2
11 31 -3
11 32 4
11 33 4
11 34 2
11 35 0
11 36 5
11 37 0
11 38 3
11 39 1
11 40 1
11 41 0
11 42 3
11 43 7
11 44 4
11 45 5
11 46 2
11 47 3
11 48 -1
11 49 -1
11 50 2
11 51 -1
11 52 -7
11 53 -5
11 54 6
11 55 -1
11 56 2
11 57 0
11 58 8
11 59 15
11 60 7
11 61 -2
11 62 2
11 63 5
11 64 -3
11 65 8
11 66 -4
11 67 2
11 68 0
11 69 2
12 1 -3
12 2 36
12 3 -13
12 4 -14
12 5 -11
12 6 -6
12 7 -20
12 8 1
12 9 -5
12 10 -13
12 11 -7
12 12 -5
12 13 4
12 14 0
12 15 2
12 16 -9
12 17 -1
12 18 -21
12 19 6
12 20 -14
12 21 2
12 22 -28
12 23 6
12 24 -7
12 25 -4
12 26 -1
12 27 -2
12 28 -2
12 29 -7
12 30 -2
12 31 -5
12 32 -5
12 33 -2
12 34 -11
12 35 -3
12 36 -1
12 37 -9
12 38 -5
12 39 4
12 40 -5
12 41 -3
12 42 1
12 43 -6
12 44 2
12 45 5
12 46 0
12 47 2
12 48 1
12 49 -1
12 50 0
12 51 -2
12 52 -7
12 53 -5
12 54 3
12 55 -1
12 56 0
12 57 -2
12 58 2
12 59 10
12 60 2
12 61 0
12 62 -1
12 63 4
12 64 -9
12 65 10
12 66 -2
12 67 -5
12 68 -1
12 69 -5
Adjuster movements: rms = 32.6 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050120-110250
Creating HTML output file of plots
Plotting summary text