

#################### PYOTE 4.1.2  session started: Fri Jan 14 20:41:28 2022  ####################

filename: D:/OccvVideos/20220109Wells-KVA/KVA-PyM.csv

If the csv file came from PyMovie - columns with prefix: signal will be read.

fourcc code of avi: dvvi
fps: 29.97002997002997
avi contains 2628 frames

Analyze data 1 selected - PyMovie aperture name: tracking (signal)

==================== file header lines ====================
# PyMovie Version 3.3.0
# source: D:\OccvVideos\20220109Wells-KVA.avi
#
# lunar background: False
# yellow mask = default: False
#
# aperture name: tracking
# ____ aperture size: 51
# ____ x,y: (633, 341)
# ____ threshold: 6
# ____ def mask radius: 3.2
# ____ color: yellow
# ____ joggable: False
# ____ auto textOut: False
# ____ thumbnail source: False
# ____ csv output order: 0
#
# aperture name: target
# ____ aperture size: 51
# ____ x,y: (297, 208)
# ____ threshold: 3
# ____ def mask radius: 3.2
# ____ color: green
# ____ joggable: False
# ____ auto textOut: False
# ____ thumbnail source: False
# ____ csv output order: 1
#
# aperture name: nostar
# ____ aperture size: 51
# ____ x,y: (429, 140)
# ____ threshold: 99999
# ____ def mask radius: 3.2
# ____ color: red
# ____ joggable: True
# ____ auto textOut: True
# ____ thumbnail source: True
# ____ csv output order: 2
#
==================== end header lines ====================

timeDelta: 0.0333663 seconds per reading
timestamp error rate: 0.0770%

Analyze data 1 selected - PyMovie aperture name: tracking (signal)

Analyze data 2 selected - PyMovie aperture name: target (signal)

Analysis of all possible block integration sizes and offsets

  2 notch 0.77 [6.2, 9.9]
  4 notch 0.85 [12.7, 14.6, 11.6, 14.5]
  8 notch 0.71 [22.6, 23.4, 22.8, 20.8, 16.2, 17.7, 14.6, 20.1]
 16 notch 0.93 [27.9, 28.1, 27.8, 27.1, 25.7, 25.9, 25.3, 26.9, 27.8, 28.2, 28.1, 27.7, 26.7, 26.7, 25.9, 27.3]
 32 notch 0.94 [32.2, 32.0, 31.7, 31.3, 30.8, 30.7, 30.5, 30.9, 31.3, 31.6, 31.8, 31.9, 31.8, 32.1, 32.1, 32.5, 32.9, 33.1, 33.1, 33.1, 32.9, 33.0, 33.0, 33.3, 33.5, 33.5, 33.5, 33.3, 33.0, 32.8, 32.5, 32.5]
 48 notch 0.97 [34.1, 34.2, 34.2, 34.1, 34.0, 33.8, 33.6, 33.8, 34.1, 34.4, 34.5, 34.7, 34.8, 34.9, 35.0, 35.1, 35.2, 35.2, 35.2, 35.1, 35.0, 35.0, 35.0, 35.2, 35.3, 35.4, 35.4, 35.3, 35.2, 35.3, 35.3, 35.3, 35.2, 35.1, 34.9, 34.7, 34.3, 34.4, 34.4, 34.6, 34.7, 34.7, 34.6, 34.4, 34.2, 34.1, 33.9, 34.1]
 64 notch 0.98 [36.9, 36.7, 36.4, 36.2, 35.9, 35.7, 35.4, 35.5, 35.6, 35.6, 35.5, 35.4, 35.3, 35.2, 35.1, 35.1, 35.3, 35.3, 35.3, 35.2, 35.1, 35.2, 35.2, 35.4, 35.6, 35.7, 35.8, 35.9, 35.9, 35.9, 36.0, 36.0, 35.9, 35.9, 35.8, 35.7, 35.5, 35.7, 35.8, 36.1, 36.4, 36.7, 36.8, 37.0, 37.1, 37.4, 37.6, 37.8, 38.0, 38.1, 38.2, 38.2, 38.2, 38.3, 38.3, 38.3, 38.3, 38.2, 38.2, 38.0, 37.9, 37.7, 37.6, 37.4]
 96 notch 0.95 [39.4, 39.3, 39.1, 38.9, 38.7, 38.5, 38.3, 38.5, 38.6, 38.7, 38.8, 38.9, 39.0, 39.0, 39.1, 39.0, 39.0, 39.0, 39.0, 38.9, 38.8, 38.8, 38.7, 38.7, 38.7, 38.6, 38.5, 38.4, 38.3, 38.2, 38.1, 38.0, 37.9, 37.7, 37.6, 37.5, 37.3, 37.3, 37.3, 37.3, 37.3, 37.3, 37.3, 37.2, 37.1, 37.2, 37.3, 37.7, 38.0, 38.2, 38.4, 38.6, 38.8, 38.9, 39.1, 39.2, 39.4, 39.5, 39.6, 39.7, 39.8, 39.8, 39.8, 39.9, 40.0, 40.0, 40.1, 40.1, 40.1, 40.2, 40.2, 40.4, 40.5, 40.6, 40.6, 40.7, 40.7, 40.8, 40.8, 40.7, 40.7, 40.7, 40.6, 40.5, 40.4, 40.4, 40.3, 40.4, 40.4, 40.5, 40.5, 40.4, 40.4, 40.4, 40.3, 40.2]
128 notch 0.96 [41.8, 41.7, 41.6, 41.5, 41.3, 41.2, 41.1, 41.0, 41.0, 40.9, 40.9, 40.8, 40.8, 40.8, 40.8, 40.9, 40.9, 40.9, 40.8, 40.9, 40.8, 40.8, 40.7, 40.7, 40.7, 40.6, 40.6, 40.5, 40.4, 40.3, 40.3, 40.2, 40.0, 39.8, 39.7, 39.5, 39.3, 39.2, 39.1, 39.4, 39.5, 39.6, 39.7, 39.8, 39.9, 40.0, 40.1, 40.2, 40.2, 40.2, 40.2, 40.3, 40.3, 40.3, 40.2, 40.2, 40.3, 40.3, 40.3, 40.2, 40.2, 40.2, 40.1, 40.0, 40.0, 39.9, 39.9, 39.8, 39.8, 39.8, 39.8, 39.9, 40.0, 40.1, 40.1, 40.2, 40.3, 40.3, 40.3, 40.4, 40.6, 40.6, 40.7, 40.7, 40.8, 40.9, 41.1, 41.3, 41.4, 41.6, 41.7, 41.8, 42.0, 42.1, 42.1, 42.2, 42.4, 42.5, 42.6, 42.7, 42.8, 42.9, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 42.9, 42.9, 43.0, 43.1, 43.1, 43.1, 43.2, 43.2, 43.2, 43.2, 43.2, 43.1, 43.1, 43.0, 42.9, 42.8, 42.8, 42.8, 42.7]
256 notch 0.97 [46.2, 46.2, 46.1, 46.1, 46.0, 45.9, 45.8, 45.8, 45.7, 45.6, 45.6, 45.5, 45.4, 45.4, 45.4, 45.4, 45.5, 45.4, 45.4, 45.5, 45.5, 45.4, 45.4, 45.3, 45.3, 45.2, 45.2, 45.1, 45.0, 45.0, 45.0, 45.0, 44.9, 44.9, 44.8, 44.8, 44.7, 44.7, 44.6, 45.6, 45.6, 45.6, 45.6, 45.6, 45.6, 45.7, 45.7, 45.7, 45.7, 45.8, 45.8, 45.8, 45.9, 45.9, 45.9, 45.9, 45.9, 45.9, 45.9, 45.9, 45.9, 45.9, 45.8, 45.8, 45.8, 45.8, 45.8, 45.8, 45.7, 45.7, 45.7, 45.8, 45.8, 45.9, 45.9, 46.0, 46.0, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.1, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 46.0, 45.9, 46.0, 46.0, 45.9, 45.9, 45.9, 45.9, 45.8, 45.8, 45.7, 45.6, 45.6, 45.6, 45.6, 45.6, 45.5, 45.5, 45.6, 45.6, 45.6, 45.7, 45.7, 45.7, 45.7, 45.7, 45.7, 45.7, 45.7, 45.7, 45.7, 45.7, 45.7, 45.6, 45.6, 45.6, 45.6, 45.5, 45.5, 45.4, 45.4, 45.3, 45.3, 45.2, 45.2, 45.2, 45.3, 45.3, 45.3, 45.4, 45.4, 45.5, 45.5, 45.5, 45.5, 45.5, 45.5, 45.5, 45.5, 45.4, 45.4, 45.4, 45.4, 45.3, 45.3, 45.3, 45.3, 45.3, 45.3, 45.3, 45.3, 45.2, 45.2, 45.2, 45.2, 45.2, 45.2, 45.3, 45.3, 45.3, 45.3, 45.4, 45.4, 45.4, 45.5, 45.6, 45.7, 45.8, 45.9, 46.0, 46.1, 46.2, 46.3, 46.4, 46.5, 46.7, 46.8, 46.9, 47.0, 47.0, 47.1, 47.2, 47.3, 47.4, 47.4, 47.5, 47.6, 47.7, 47.7, 47.7, 47.7, 47.7, 47.7, 47.8, 47.8, 47.7, 47.7, 47.8, 47.8, 47.8, 47.7, 47.8, 47.8, 47.8, 47.9, 47.9, 47.9, 47.9, 48.0, 48.0, 47.9, 47.9, 47.9]
 

Best integration estimate: blockSize: 8 @ offset 6

Block integration started at entry 6 with block size of 8 readings

timeDelta: 0.266931 seconds per block
timestamp error rate: 0.31%

D zone selected: [162, 188]

R zone selected: [190, 214]

Locate a "D and R" event triggered

minEvent: <blank>  maxEvent: <blank>

Number of candidate solutions: 675 (using D/R region selections)

New solver results...

Integer (non-subframe) solution...
sigB:41.06  sigA:3.01 B:182.46 A:3.82
in entryNum units: D: 185  R: 195

noise corr coefs: [1.00, 0.251, 0.157, 0.163, 0.141, 0.118]  (based on 312 points)  sigmaB: 37.30

Subframe adjusted solution...
sigB:37.30  sigA:37.30 B:182.46 A:3.82
in entryNum units: D: 185  R: 195  D(subframe): 185.0000  R(subframe): 195.5724

in frameNum units: D: 1516  R: 1596  D(subframe): 1516.0000  R(subframe): 1600.5795

... end New solver results

Error bar report based on 100,000 simulations (units are readings)...

loDbar   @ .68 ci:  -1.9318
hiDbar   @ .68 ci:   1.8198
loDbar   @ .95 ci:  -4.7182
hiDbar   @ .95 ci:   4.5892
loDbar   @ .9973 ci:  -9.8839
hiDbar   @ .9973 ci:   9.8462

loDurBar @ .68 ci:  -2.7836
hiDurBar @ .68 ci:   2.9416
loDurBar @ .95 ci:  -6.5680
hiDurBar @ .95 ci:   6.4677
loDurBar @ .9973 ci: -14.3665
hiDurBar @ .9973 ci:  13.6230

Timestamp validity check ...

From timestamps at D and R, calculated 10 reading blocks.  From reading blocks, calculated 10 blocks.

Timestamps appear valid @ D and R

================= 0.68 containment interval report =================

B: 182.46  {+/- 2.11}  sigmaB: 37.30

A: 3.82  {+/- 12.06}  sigmaA: 37.30

magDrop: 4.198  +/- 3.427  (0.68 ci)

snr: 4.79

D: 1516.00 {+1.88,-1.88} (frame number)
D: [10:47:23.9977]  {+0.0626,-0.0626} seconds

R: 1600.58 {+1.88,-1.88} (frame number)
R: [10:47:26.8865]  {+0.0626,-0.0626} seconds

Duration (R - D): 84.5792 {+2.8626,-2.8626} readings
Duration (R - D): 2.8888 {+0.0955,-0.0955} seconds

=============== end 0.68 containment interval report ===============

================= 0.95 containment interval report =================

B: 182.46  {+/- 4.23}  sigmaB: 37.30

A: 3.82  {+/- 24.11}  sigmaA: 37.30

magDrop: 4.198  +/- 6.854  (0.95 ci)

snr: 4.79

D: 1516.00 {+4.65,-4.65} (frame number)
D: [10:47:23.9977]  {+0.1553,-0.1553} seconds

R: 1600.58 {+4.65,-4.65} (frame number)
R: [10:47:26.8865]  {+0.1553,-0.1553} seconds

Duration (R - D): 84.5792 {+6.5179,-6.5179} readings
Duration (R - D): 2.8888 {+0.2175,-0.2175} seconds

=============== end 0.95 containment interval report ===============

================= 0.9973 containment interval report ===============

B: 182.46  {+/- 6.34}  sigmaB: 37.30

A: 3.82  {+/- 36.17}  sigmaA: 37.30

magDrop: 4.198  +/- 10.282  (0.9973 ci)

snr: 4.79

D: 1516.00 {+9.87,-9.87} (frame number)
D: [10:47:23.9977]  {+0.3292,-0.3292} seconds

R: 1600.58 {+9.87,-9.87} (frame number)
R: [10:47:26.8865]  {+0.3292,-0.3292} seconds

Duration (R - D): 84.5792 {+13.9948,-13.9948} readings
Duration (R - D): 2.8888 {+0.4670,-0.4670} seconds

=============== end 0.9973 containment interval report =============

D frame number: 1516.00
D: 0.6800 containment intervals:  {+/- 1.93} (readings)
D: 0.9500 containment intervals:  {+/- 4.72} (readings)
D: 0.9973 containment intervals:  {+/- 9.88} (readings)

R frame number: 1600.58
R: 0.6800 containment intervals:  {+/- 1.93} (readings)
R: 0.9500 containment intervals:  {+/- 4.72} (readings)
R: 0.9973 containment intervals:  {+/- 9.88} (readings)

Duration (R - D): 84.5792 readings
Duration: 0.6800 containment intervals:  {+/- 2.8626} (readings)
Duration: 0.9500 containment intervals:  {+/- 6.5179} (readings)
Duration: 0.9973 containment intervals:  {+/- 13.9948} (readings)

=============== Summary report for Excel file =====================

Block integration of size 8 has been applied to this light curve.

The following lightcurve parameters were utilized:

==== use diff: is checked
==== exp: 0.266931

This 'drop' has a 0.0000 probability of being an artifact of noise.
>>>> probability > 0.0000 indicates the 'drop' may be spurious (a noise artifact). Consult with an IOTA Regional Coordinator.
>>>> probability = 0.0000 indicates the 'drop' is unlikely to be a noise artifact, but does not prove that the 'drop' is due to an occultation
>>>> Consider 'drop' shape, timing, mag drop, duration and other positive observer chords before reporting the 'drop' as a positive.

All times are calculated/reported based on the assumption that timestamps are start-of-exposure times.

It is critical that you make appropriate time adjustments when timestamps are NOT start-of-exposure times.
If you use the North American Excel Spreadsheet report, all times will be properly corrected
for camera delay and reported start-of-exposure times.
For other users worldwide, use the appropriate corrections documented in the North American Spreadsheet report form - use
the documentation shown on the Corrections Tables tab.

magDrop: 4.198  +/- 6.854  (0.95 ci)

snr: 4.79

D time: [10:47:23.9977]
D: 0.6800 containment intervals:  {+/- 0.0645} seconds
D: 0.9500 containment intervals:  {+/- 0.1574} seconds
D: 0.9973 containment intervals:  {+/- 0.3298} seconds

R time: [10:47:26.8865]
R: 0.6800 containment intervals:  {+/- 0.0645} seconds
R: 0.9500 containment intervals:  {+/- 0.1574} seconds
R: 0.9973 containment intervals:  {+/- 0.3298} seconds

Duration (R - D): 2.8888 seconds
Duration: 0.6800 containment intervals:  {+/- 0.0955} seconds
Duration: 0.9500 containment intervals:  {+/- 0.2175} seconds
Duration: 0.9973 containment intervals:  {+/- 0.4670} seconds

Enter D and R error bars for each containment interval in Excel spreadsheet without + or - sign (assumed to be +/-)

=========== end Summary report for Excel file =====================

Solution 'envelope' in the main plot drawn using 0.95 containment interval error bars



#################### PYOTE 4.1.2  session started: Fri Jan 14 22:29:27 2022  ####################

filename: D:/OccvVideos/20220109Wells-KVA/KVA-PyM.csv

If the csv file came from PyMovie - columns with prefix: signal will be read.

fourcc code of avi: dvvi
fps: 29.97002997002997
avi contains 2628 frames

Analyze data 1 selected - PyMovie aperture name: tracking (signal)

==================== file header lines ====================
# PyMovie Version 3.3.0
# source: D:\OccvVideos\20220109Wells-KVA.avi
#
# lunar background: False
# yellow mask = default: False
#
# aperture name: tracking
# ____ aperture size: 51
# ____ x,y: (633, 341)
# ____ threshold: 6
# ____ def mask radius: 3.2
# ____ color: yellow
# ____ joggable: False
# ____ auto textOut: False
# ____ thumbnail source: False
# ____ csv output order: 0
#
# aperture name: target
# ____ aperture size: 51
# ____ x,y: (297, 208)
# ____ threshold: 3
# ____ def mask radius: 3.2
# ____ color: green
# ____ joggable: False
# ____ auto textOut: False
# ____ thumbnail source: False
# ____ csv output order: 1
#
# aperture name: nostar
# ____ aperture size: 51
# ____ x,y: (429, 140)
# ____ threshold: 99999
# ____ def mask radius: 3.2
# ____ color: red
# ____ joggable: True
# ____ auto textOut: True
# ____ thumbnail source: True
# ____ csv output order: 2
#
==================== end header lines ====================

timeDelta: 0.0333663 seconds per reading
timestamp error rate: 0.0770%

Analyze data 1 selected - PyMovie aperture name: tracking (signal)

Analysis of all possible block integration sizes and offsets

  2 notch 0.60 [8.5, 19.6]
  4 notch 0.71 [25.4, 29.6, 19.6, 29.8]
  8 notch 0.57 [50.3, 52.8, 52.1, 47.6, 35.6, 38.3, 26.0, 43.7]
 16 notch 0.92 [64.5, 64.7, 64.1, 62.1, 58.2, 59.6, 57.8, 63.1, 65.6, 67.0, 66.9, 65.7, 62.6, 62.6, 59.7, 62.9]
 32 notch 0.97 [78.7, 78.7, 78.5, 77.9, 77.0, 77.0, 76.4, 77.5, 78.0, 78.4, 78.4, 78.2, 77.6, 77.4, 76.8, 77.2, 77.5, 77.4, 77.2, 76.5, 75.5, 75.9, 75.9, 77.3, 78.2, 78.7, 78.9, 78.6, 77.7, 77.8, 77.3, 78.1]
 48 notch 0.98 [83.6, 83.5, 83.5, 83.4, 83.3, 83.4, 83.3, 83.9, 84.0, 84.0, 83.8, 83.4, 82.8, 82.6, 82.2, 82.6, 82.9, 82.9, 83.0, 82.9, 82.6, 82.7, 82.6, 83.2, 83.6, 84.0, 84.2, 84.2, 84.2, 84.2, 84.1, 84.5, 84.7, 84.8, 84.7, 84.4, 84.1, 84.0, 83.8, 84.0, 84.1, 84.2, 84.1, 83.9, 83.4, 83.2, 82.8, 83.1]
 64 notch 0.99 [86.5, 86.5, 86.6, 86.5, 86.4, 86.4, 86.3, 86.5, 86.5, 86.6, 86.5, 86.5, 86.4, 86.3, 86.0, 86.1, 86.2, 86.2, 86.2, 86.0, 85.9, 85.7, 85.5, 85.8, 86.1, 86.3, 86.4, 86.5, 86.4, 86.6, 86.8, 87.1, 87.5, 87.7, 87.7, 87.7, 87.6, 87.5, 87.3, 87.5, 87.6, 87.8, 87.8, 87.8, 87.6, 87.3, 87.0, 87.0, 86.9, 86.8, 86.7, 86.4, 86.2, 86.4, 86.4, 86.8, 87.0, 87.0, 87.0, 86.7, 86.2, 86.0, 85.7, 86.1]
 96 notch 0.98 [89.2, 89.3, 89.4, 89.4, 89.5, 89.5, 89.6, 89.7, 89.9, 90.0, 90.1, 90.2, 90.2, 90.2, 90.2, 90.3, 90.5, 90.5, 90.6, 90.7, 90.6, 90.7, 90.8, 91.3, 91.7, 92.0, 92.3, 92.6, 92.8, 93.1, 93.3, 93.5, 93.6, 93.7, 93.7, 93.7, 93.6, 93.5, 93.2, 93.2, 93.1, 93.1, 93.0, 92.8, 92.6, 92.4, 92.3, 92.3, 92.3, 92.3, 92.3, 92.3, 92.2, 92.2, 92.2, 92.2, 92.1, 91.9, 91.6, 91.2, 90.7, 90.6, 90.4, 90.4, 90.3, 90.2, 90.1, 89.9, 89.7, 89.6, 89.4, 89.5, 89.5, 89.6, 89.6, 89.6, 89.6, 89.4, 89.3, 89.2, 89.2, 89.1, 89.0, 88.8, 88.7, 88.7, 88.8, 88.9, 89.0, 89.0, 89.1, 89.1, 88.9, 88.9, 88.8, 89.0]
128 notch 0.97 [94.2, 94.3, 94.3, 94.3, 94.3, 94.4, 94.4, 94.4, 94.4, 94.5, 94.5, 94.5, 94.5, 94.5, 94.5, 94.7, 94.9, 95.1, 95.3, 95.5, 95.7, 95.8, 95.9, 96.1, 96.3, 96.4, 96.6, 96.7, 96.8, 96.9, 97.1, 97.1, 97.0, 97.0, 96.8, 96.7, 96.4, 96.0, 95.6, 96.1, 96.1, 96.1, 96.1, 96.0, 95.9, 96.0, 96.1, 96.0, 96.0, 95.9, 95.8, 95.7, 95.5, 95.4, 95.2, 95.1, 95.0, 94.8, 94.7, 94.4, 94.1, 93.9, 93.7, 93.8, 93.8, 93.8, 93.8, 93.7, 93.6, 93.5, 93.4, 93.4, 93.3, 93.3, 93.2, 93.0, 92.9, 92.7, 92.5, 92.4, 92.4, 92.3, 92.2, 92.1, 92.0, 91.9, 91.7, 91.7, 91.7, 91.7, 91.6, 91.5, 91.4, 91.5, 91.6, 91.6, 91.7, 91.7, 91.7, 91.7, 91.7, 91.8, 91.9, 92.0, 92.0, 92.0, 92.1, 92.0, 92.0, 91.7, 91.4, 91.4, 91.5, 91.4, 91.4, 91.4, 91.4, 91.7, 91.9, 92.2, 92.5, 92.7, 92.9, 93.0, 93.1, 93.3, 93.5, 93.6]
256 notch 0.95 [100.1, 100.1, 100.1, 100.1, 100.1, 100.1, 100.1, 100.0, 100.0, 99.9, 99.8, 99.8, 99.7, 99.6, 99.6, 99.6, 99.7, 99.8, 99.8, 99.9, 99.9, 100.0, 100.1, 100.2, 100.3, 100.4, 100.5, 100.6, 100.7, 100.9, 101.0, 101.0, 100.9, 100.9, 100.8, 100.8, 100.7, 100.6, 100.6, 102.1, 102.2, 102.2, 102.2, 102.2, 102.2, 102.2, 102.2, 102.2, 102.3, 102.3, 102.4, 102.4, 102.5, 102.5, 102.5, 102.5, 102.5, 102.5, 102.5, 102.5, 102.5, 102.5, 102.5, 102.6, 102.6, 102.7, 102.7, 102.7, 102.8, 102.8, 102.8, 102.8, 102.9, 103.0, 103.0, 103.1, 103.1, 103.1, 103.1, 103.2, 103.2, 103.3, 103.3, 103.4, 103.4, 103.4, 103.5, 103.5, 103.5, 103.6, 103.6, 103.6, 103.6, 103.7, 103.7, 103.8, 103.8, 103.9, 103.9, 103.9, 104.0, 104.0, 104.0, 103.9, 103.7, 103.5, 103.4, 103.2, 102.9, 102.7, 102.4, 102.3, 102.3, 102.3, 102.3, 102.2, 102.2, 102.1, 102.1, 102.1, 102.1, 102.0, 102.0, 102.0, 101.9, 101.9, 102.0, 102.0, 102.0, 101.9, 101.9, 101.9, 101.9, 101.9, 101.9, 101.9, 101.9, 101.9, 101.8, 101.8, 101.8, 101.9, 101.9, 102.0, 102.0, 102.0, 102.1, 102.1, 102.2, 102.1, 102.1, 102.1, 102.1, 102.0, 101.9, 101.8, 101.8, 101.7, 101.6, 101.6, 101.5, 101.5, 101.4, 101.3, 101.3, 101.1, 101.0, 100.9, 100.8, 100.7, 100.6, 100.5, 100.4, 100.3, 100.3, 100.2, 100.1, 100.0, 99.9, 99.8, 99.7, 99.6, 99.4, 99.3, 99.1, 99.0, 98.8, 98.6, 98.4, 98.3, 98.2, 98.1, 98.0, 97.9, 97.8, 97.7, 97.6, 97.4, 97.3, 97.2, 97.1, 97.0, 96.9, 96.9, 96.8, 96.8, 96.7, 96.7, 96.6, 96.6, 96.6, 96.6, 96.6, 96.5, 96.5, 96.5, 96.6, 96.7, 96.7, 96.7, 96.8, 96.8, 96.8, 96.7, 96.7, 96.6, 96.5, 96.5, 96.4, 96.5, 96.5, 96.6, 96.7, 96.8, 96.8, 96.9, 97.0, 97.0, 96.9, 97.0, 97.0, 97.0, 97.1, 97.1, 97.1, 97.2, 97.2, 97.4, 97.6, 97.8, 97.9, 98.1, 98.2, 98.4, 98.6, 98.6]
 

Best integration estimate: blockSize: 8 @ offset 6



#################### Session ended: Fri Jan 14 22:29:45 2022  ####################

