#################### PYOTE 3.8.7 session started: Mon Sep 6 23:56:33 2021 #################### filename: F:/OccvVideos/20210906Carina/RN-Carina-PyM.csv fourcc code of avi: dvvi fps: 29.97002997002997 avi contains 5447 frames Analyze light curve 1 selected. PyMovie aperture name: target ==================== file header lines ==================== # PyMovie Version 3.1.4 # source: F:\OccvVideos\20210906Carina.avi # # lunar background: False # yellow mask = default: False # # aperture name: target # ____ aperture size: 51 # ____ x,y: (363, 173) # ____ threshold: 12 # ____ def mask radius: 3.2 # ____ color: red # ____ joggable: False # ____ auto textOut: False # ____ thumbnail source: False # ____ csv output order: 0 # # aperture name: tracking # ____ aperture size: 51 # ____ x,y: (568, 52) # ____ threshold: 10 # ____ def mask radius: 3.2 # ____ color: yellow # ____ joggable: False # ____ auto textOut: False # ____ thumbnail source: False # ____ csv output order: 1 # # aperture name: no-star # ____ aperture size: 51 # ____ x,y: (530, 184) # ____ threshold: 10 # ____ def mask radius: 3.2 # ____ color: green # ____ joggable: True # ____ auto textOut: True # ____ thumbnail source: True # ____ csv output order: 2 # ==================== end header lines ==================== timeDelta: 0.0333665 seconds per reading timestamp error rate: 0.462% Analyze light curve 1 selected. PyMovie aperture name: target All data points were selected Data trimmed/selected using points: [5, 5355] There is no curve selected for analysis. Secondary reference 1 selected. PyMovie aperture name: target #################### PYOTE 3.8.7 session started: Tue Sep 7 00:00:47 2021 #################### filename: F:/OccvVideos/20210906Carina/RN-Carina-PyM.csv fourcc code of avi: dvvi fps: 29.97002997002997 avi contains 5447 frames There is no secondary reference selected. Analyze light curve 1 selected. PyMovie aperture name: target ==================== file header lines ==================== # PyMovie Version 3.1.4 # source: F:\OccvVideos\20210906Carina.avi # # lunar background: False # yellow mask = default: False # # aperture name: target # ____ aperture size: 51 # ____ x,y: (363, 173) # ____ threshold: 12 # ____ def mask radius: 3.2 # ____ color: red # ____ joggable: False # ____ auto textOut: False # ____ thumbnail source: False # ____ csv output order: 0 # # aperture name: tracking # ____ aperture size: 51 # ____ x,y: (568, 52) # ____ threshold: 10 # ____ def mask radius: 3.2 # ____ color: yellow # ____ joggable: False # ____ auto textOut: False # ____ thumbnail source: False # ____ csv output order: 1 # # aperture name: no-star # ____ aperture size: 51 # ____ x,y: (530, 184) # ____ threshold: 10 # ____ def mask radius: 3.2 # ____ color: green # ____ joggable: True # ____ auto textOut: True # ____ thumbnail source: True # ____ csv output order: 2 # ==================== end header lines ==================== timeDelta: 0.0333665 seconds per reading timestamp error rate: 0.462% Analyze light curve 1 selected. PyMovie aperture name: target Analysis of all possible block integration sizes and offsets 2 notch 0.55 [15.7, 41.8] 4 notch 0.36 [75.1, 67.1, 24.0, 67.2] 8 notch 0.87 [97.0, 94.1, 81.8, 93.0, 95.9, 93.4, 82.6, 94.2] 16 notch 0.97 [121.3, 121.1, 118.3, 120.7, 121.4, 120.7, 118.0, 120.5, 121.0, 119.7, 115.8, 118.8, 119.8, 119.4, 117.2, 120.2] 32 notch 0.70 [144.5, 144.7, 144.4, 145.2, 145.6, 145.7, 145.3, 145.8, 145.8, 145.5, 101.7, 102.2, 102.3, 102.0, 101.4, 102.2, 102.5, 145.1, 144.6, 145.1, 145.2, 144.8, 143.9, 144.4, 144.3, 143.8, 142.8, 143.4, 143.6, 143.4, 142.7, 144.0] 48 notch 0.66 [106.5, 106.7, 106.7, 107.2, 107.5, 107.6, 107.4, 107.7, 107.7, 107.6, 107.2, 107.5, 107.5, 107.4, 107.0, 107.7, 108.2, 161.0, 161.1, 161.4, 161.5, 161.5, 161.3, 161.6, 161.6, 161.6, 161.3, 161.3, 161.2, 160.9, 160.5, 160.6, 160.5, 160.2, 159.7, 159.8, 159.7, 159.5, 158.9, 158.9, 158.7, 158.3, 104.6, 105.1, 105.4, 105.5, 105.4, 106.0] 64 notch 0.98 [111.0, 111.3, 111.5, 111.7, 111.8, 111.8, 111.7, 111.9, 111.9, 111.9, 111.7, 112.0, 112.2, 112.3, 112.4, 112.6, 112.7, 173.2, 173.0, 173.1, 173.0, 172.9, 172.6, 172.7, 172.5, 172.3, 171.9, 171.9, 171.9, 171.6, 171.3, 171.6, 171.7, 171.7, 171.5, 171.8, 171.8, 171.9, 171.7, 171.9, 171.8, 171.7, 110.5, 110.6, 110.5, 110.3, 110.0, 110.2, 110.4, 110.4, 110.4, 110.6, 110.7, 110.6, 110.5, 110.4, 110.2, 109.8, 109.3, 109.7, 109.9, 109.9, 109.9, 110.6] 96 notch 0.95 [113.1, 113.4, 113.6, 113.9, 114.2, 114.4, 114.6, 114.9, 115.2, 115.5, 115.6, 116.0, 116.3, 116.5, 116.7, 117.1, 117.4, 191.8, 192.0, 192.2, 192.4, 192.5, 192.6, 192.9, 193.0, 193.2, 193.3, 193.2, 193.0, 192.8, 192.6, 192.6, 192.7, 192.6, 192.5, 192.6, 192.5, 192.5, 192.4, 192.4, 192.4, 192.3, 118.0, 118.2, 118.3, 118.5, 118.6, 118.6, 118.6, 118.5, 118.3, 118.4, 118.4, 118.3, 118.3, 118.2, 118.0, 117.9, 117.6, 117.5, 117.4, 117.3, 117.1, 117.4, 117.6, 117.7, 117.8, 117.7, 117.5, 117.3, 117.1, 116.9, 116.7, 116.5, 116.2, 116.0, 115.8, 115.5, 115.2, 115.0, 114.8, 114.5, 114.2, 114.0, 113.7, 113.4, 112.9, 112.6, 112.3, 111.8, 111.2, 111.7, 112.0, 112.3, 112.4, 112.9] 128 notch 0.95 [117.9, 118.2, 118.4, 118.7, 119.0, 119.1, 119.3, 119.6, 119.8, 120.0, 120.1, 120.5, 120.8, 121.1, 121.3, 121.6, 121.9, 207.7, 208.0, 208.2, 208.5, 208.7, 208.9, 209.1, 209.2, 209.3, 209.4, 209.4, 209.3, 209.2, 209.1, 209.2, 209.2, 209.2, 209.2, 209.4, 209.4, 209.5, 209.5, 209.7, 209.7, 209.8, 124.6, 124.7, 124.7, 124.7, 124.7, 124.7, 124.7, 124.6, 124.5, 124.5, 124.4, 124.3, 124.2, 124.1, 124.0, 123.9, 123.7, 123.6, 123.4, 123.3, 123.1, 123.3, 123.5, 123.6, 123.7, 123.7, 123.6, 123.5, 123.4, 123.3, 123.1, 123.0, 122.7, 122.7, 122.6, 122.5, 122.3, 122.0, 121.7, 121.2, 120.7, 120.4, 120.0, 119.5, 118.9, 118.5, 118.2, 117.7, 117.2, 117.2, 117.3, 117.2, 117.2, 117.3, 117.3, 117.3, 117.2, 117.2, 117.1, 117.0, 116.8, 116.8, 116.9, 116.8, 116.8, 116.8, 116.7, 116.7, 116.6, 116.6, 116.6, 116.6, 116.6, 116.6, 116.5, 116.4, 116.3, 116.4, 116.4, 116.4, 116.4, 116.8, 117.1, 117.4, 117.6, 118.0] 256 notch 0.90 [137.6, 137.5, 137.4, 137.4, 137.4, 137.3, 137.3, 137.2, 137.2, 137.1, 137.1, 137.1, 137.2, 137.2, 137.1, 137.1, 137.1, 256.3, 256.3, 256.4, 256.4, 256.4, 256.4, 256.3, 256.1, 256.0, 255.8, 255.7, 255.6, 255.4, 255.3, 255.2, 255.1, 255.0, 254.9, 254.9, 254.9, 254.9, 254.8, 254.8, 254.7, 254.6, 136.3, 136.1, 135.9, 135.8, 135.6, 135.5, 135.4, 135.3, 135.3, 135.1, 135.0, 134.8, 134.6, 134.4, 134.2, 133.9, 133.7, 133.4, 133.2, 132.9, 132.6, 132.6, 132.7, 132.7, 132.7, 132.5, 132.2, 132.0, 131.7, 131.4, 131.1, 130.7, 130.3, 130.0, 129.6, 129.2, 128.8, 128.4, 127.9, 127.4, 126.8, 126.2, 125.5, 124.8, 123.9, 123.6, 123.2, 122.8, 122.4, 122.5, 122.5, 122.6, 122.6, 122.7, 122.8, 122.9, 122.9, 122.9, 123.0, 123.0, 123.0, 123.0, 123.0, 123.0, 123.0, 123.1, 123.1, 123.1, 123.1, 123.1, 123.1, 123.1, 123.1, 123.2, 123.2, 123.3, 123.3, 123.4, 123.4, 123.4, 123.3, 123.9, 124.3, 124.7, 125.1, 125.7, 126.2, 126.8, 127.3, 127.7, 128.0, 128.3, 128.6, 128.9, 129.3, 129.6, 129.9, 130.4, 130.8, 131.2, 131.6, 131.9, 132.3, 132.6, 132.8, 133.1, 133.4, 133.7, 133.9, 134.2, 134.4, 134.7, 134.9, 134.9, 134.9, 134.9, 134.9, 135.0, 135.0, 135.1, 135.1, 135.3, 135.4, 135.5, 135.6, 135.8, 136.0, 136.2, 136.3, 136.5, 136.7, 136.9, 137.1, 137.1, 137.2, 137.2, 137.2, 137.3, 137.3, 137.4, 137.5, 137.6, 137.7, 137.9, 138.0, 138.0, 138.0, 138.1, 138.1, 138.2, 138.2, 138.3, 138.3, 138.4, 138.6, 138.7, 138.9, 139.0, 139.1, 139.2, 139.3, 139.4, 139.6, 139.7, 139.8, 139.9, 139.9, 139.9, 139.9, 140.0, 140.1, 140.2, 140.3, 140.3, 140.4, 140.4, 140.5, 140.5, 140.5, 140.5, 140.4, 140.4, 140.4, 140.3, 140.3, 140.2, 140.1, 140.0, 139.9, 139.8, 139.8, 139.7, 139.6, 139.6, 139.5, 139.5, 139.4, 139.3, 139.2, 139.2, 139.1, 139.0, 138.9, 138.8, 138.7, 138.8, 139.0, 139.1, 139.3, 139.2, 139.2, 139.2, 139.2, 139.1] Best integration estimate: blockSize: 4 @ offset 2 Block integration started at entry 2 with block size of 4 readings timeDelta: 0.133466 seconds per block timestamp error rate: 0.37% ******************** starting over ******************** R zone selected: [347, 443] R zone selected: [447, 570] D zone selected: [337, 445] Locate a "D and R" event triggered minEvent: maxEvent: Number of candidate solutions: 13516 (using D/R region selections) New solver results... Integer (non-subframe) solution... sigB:320.71 sigA:55.09 B:692.03 A:48.63 in entryNum units: D: 406 R: 478 noise corr coefs: [1.00] (based on 1280 points) sigmaB: 288.95 Subframe adjusted solution... sigB:288.95 sigA:55.08 B:692.03 A:48.63 in entryNum units: D: 406 R: 478 D(subframe): 406.2937 R(subframe): 478.0000 in frameNum units: D: 1656 R: 1944 D(subframe): 1657.1748 R(subframe): 1944.0000 ... end New solver results Error bar report based on 100,000 simulations (units are readings)... loDbar @ .68 ci: -1.3080 hiDbar @ .68 ci: 0.8753 loDbar @ .95 ci: -3.5380 hiDbar @ .95 ci: 1.9967 loDbar @ .9973 ci: -7.4621 hiDbar @ .9973 ci: 4.1891 loDurBar @ .68 ci: -1.6506 hiDurBar @ .68 ci: 1.6388 loDurBar @ .95 ci: -4.0025 hiDurBar @ .95 ci: 3.9386 loDurBar @ .9973 ci: -7.9447 hiDurBar @ .9973 ci: 8.0246 Timestamp validity check ... From timestamps at D and R, calculated 72 reading blocks. From reading blocks, calculated 72 blocks. Timestamps appear valid @ D and R ================= 0.68 confidence interval report ================= B: 692.03 {+/- 8.08} sigmaB: 288.95 A: 48.63 {+/- 6.55} sigmaA: 55.08 minimum magDrop: 2.73 nominal magDrop: 2.88 maximum magDrop: 3.05 snr: 2.23 D: 1657.17 {+0.88,-1.30} (frame number) D: [03:40:58.9722] {+0.0294,-0.0434} seconds R: 1944.00 {+1.30,-0.88} (frame number) R: [03:41:08.5426] {+0.0434,-0.0294} seconds Duration (R - D): 286.8252 {+1.6447,-1.6447} readings Duration (R - D): 9.5704 {+0.0549,-0.0549} seconds =============== end 0.68 confidence interval report =============== ================= 0.95 confidence interval report ================= B: 692.03 {+/- 16.15} sigmaB: 288.95 A: 48.63 {+/- 13.10} sigmaA: 55.08 minimum magDrop: 2.60 nominal magDrop: 2.88 maximum magDrop: 3.25 snr: 2.23 D: 1657.17 {+2.00,-3.53} (frame number) D: [03:40:58.9722] {+0.0668,-0.1178} seconds R: 1944.00 {+3.53,-2.00} (frame number) R: [03:41:08.5426] {+0.1178,-0.0668} seconds Duration (R - D): 286.8252 {+3.9705,-3.9705} readings Duration (R - D): 9.5704 {+0.1325,-0.1325} seconds =============== end 0.95 confidence interval report =============== ================= 0.9973 confidence interval report =============== B: 692.03 {+/- 24.23} sigmaB: 288.95 A: 48.63 {+/- 19.65} sigmaA: 55.08 minimum magDrop: 2.48 nominal magDrop: 2.88 maximum magDrop: 3.48 snr: 2.23 D: 1657.17 {+4.20,-7.46} (frame number) D: [03:40:58.9722] {+0.1400,-0.2488} seconds R: 1944.00 {+7.46,-4.20} (frame number) R: [03:41:08.5426] {+0.2488,-0.1400} seconds Duration (R - D): 286.8252 {+7.9846,-7.9846} readings Duration (R - D): 9.5704 {+0.2664,-0.2664} seconds =============== end 0.9973 confidence interval report ============= D frame number: 1657.17 D: 0.6800 confidence intervals: {+/- 1.30} (readings) D: 0.9500 confidence intervals: {+/- 3.53} (readings) D: 0.9973 confidence intervals: {+/- 7.46} (readings) R frame number: 1944.00 R: 0.6800 confidence intervals: {+/- 1.30} (readings) R: 0.9500 confidence intervals: {+/- 3.53} (readings) R: 0.9973 confidence intervals: {+/- 7.46} (readings) Duration (R - D): 286.8252 readings Duration: 0.6800 confidence intervals: {+/- 1.6447} (readings) Duration: 0.9500 confidence intervals: {+/- 3.9705} (readings) Duration: 0.9973 confidence intervals: {+/- 7.9846} (readings) =============== Summary report for Excel file ===================== Block integration of size 4 has been applied to this light curve. The following lightcurve parameters were utilized: ==== use diff: is checked ==== exp: 0.133466 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 timestamps are treated as being start-of-exposure times. 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. nominal magDrop: 2.88 snr: 2.23 D time: [03:40:58.9722] D: 0.6800 confidence intervals: {+/- 0.0434} seconds D: 0.9500 confidence intervals: {+/- 0.1178} seconds D: 0.9973 confidence intervals: {+/- 0.2488} seconds R time: [03:41:08.5426] R: 0.6800 confidence intervals: {+/- 0.0434} seconds R: 0.9500 confidence intervals: {+/- 0.1178} seconds R: 0.9973 confidence intervals: {+/- 0.2488} seconds Duration (R - D): 9.5704 seconds Duration: 0.6800 confidence intervals: {+/- 0.0549} seconds Duration: 0.9500 confidence intervals: {+/- 0.1325} seconds Duration: 0.9973 confidence intervals: {+/- 0.2664} seconds Enter D and R error bars for each confidence 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 confidence interval error bars #################### PYOTE 3.8.7 session started: Thu Sep 9 21:39:26 2021 #################### filename: F:/OccvVideos/20210906Carina/RN-Carina-PyM.csv video source file F:\OccvVideos\20210906Carina.avi,,,,,,,,,,,,,,,,,,,,,,,,, could not be found. Analyze light curve 1 selected. PyMovie aperture name: target ==================== file header lines ==================== # PyMovie Version 3.1.4,,,,,,,,,,,,,,,,,,,,,,,,, # source: F:\OccvVideos\20210906Carina.avi,,,,,,,,,,,,,,,,,,,,,,,,, #,,,,,,,,,,,,,,,,,,,,,,,,, # lunar background: False,,,,,,,,,,,,,,,,,,,,,,,,, # yellow mask = default: False,,,,,,,,,,,,,,,,,,,,,,,,, #,,,,,,,,,,,,,,,,,,,,,,,,, # aperture name: target,,,,,,,,,,,,,,,,,,,,,,,,, # ____ aperture size: 51,,,,,,,,,,,,,,,,,,,,,,,,, # ____ x,y: (363, 173),,,,,,,,,,,,,,,,,,,,,,, # ____ threshold: 12,,,,,,,,,,,,,,,,,,,,,,,,, # ____ def mask radius: 3.2,,,,,,,,,,,,,,,,,,,,,,,,, # ____ color: red,,,,,,,,,,,,,,,,,,,,,,,,, # ____ joggable: False,,,,,,,,,,,,,,,,,,,,,,,,, # ____ auto textOut: False,,,,,,,,,,,,,,,,,,,,,,,,, # ____ thumbnail source: False,,,,,,,,,,,,,,,,,,,,,,,,, # ____ csv output order: 0,,,,,,,,,,,,,,,,,,,,,,,,, #,,,,,,,,,,,,,,,,,,,,,,,,, # aperture name: tracking,,,,,,,,,,,,,,,,,,,,,,,,, # ____ aperture size: 51,,,,,,,,,,,,,,,,,,,,,,,,, # ____ x,y: (568, 52),,,,,,,,,,,,,,,,,,,,,,, # ____ threshold: 10,,,,,,,,,,,,,,,,,,,,,,,,, # ____ def mask radius: 3.2,,,,,,,,,,,,,,,,,,,,,,,,, # ____ color: yellow,,,,,,,,,,,,,,,,,,,,,,,,, # ____ joggable: False,,,,,,,,,,,,,,,,,,,,,,,,, # ____ auto textOut: False,,,,,,,,,,,,,,,,,,,,,,,,, # ____ thumbnail source: False,,,,,,,,,,,,,,,,,,,,,,,,, # ____ csv output order: 1,,,,,,,,,,,,,,,,,,,,,,,,, #,,,,,,,,,,,,,,,,,,,,,,,,, # aperture name: no-star,,,,,,,,,,,,,,,,,,,,,,,,, # ____ aperture size: 51,,,,,,,,,,,,,,,,,,,,,,,,, # ____ x,y: (530, 184),,,,,,,,,,,,,,,,,,,,,,, # ____ threshold: 10,,,,,,,,,,,,,,,,,,,,,,,,, # ____ def mask radius: 3.2,,,,,,,,,,,,,,,,,,,,,,,,, # ____ color: green,,,,,,,,,,,,,,,,,,,,,,,,, # ____ joggable: True,,,,,,,,,,,,,,,,,,,,,,,,, # ____ auto textOut: True,,,,,,,,,,,,,,,,,,,,,,,,, # ____ thumbnail source: True,,,,,,,,,,,,,,,,,,,,,,,,, # ____ csv output order: 2,,,,,,,,,,,,,,,,,,,,,,,,, #,,,,,,,,,,,,,,,,,,,,,,,,, ==================== end header lines ==================== timeDelta: 0.0333665 seconds per reading timestamp error rate: 0.00% Analyze light curve 1 selected. PyMovie aperture name: target Analysis of all possible block integration sizes and offsets 2 notch 0.33 [6.6, 33.0] 4 notch 0.17 [60.4, 52.6, 9.1, 52.6] 8 notch 0.84 [75.4, 72.4, 60.4, 71.6, 74.4, 71.8, 60.9, 72.5] 16 notch 0.96 [91.2, 90.6, 87.7, 90.0, 90.7, 89.8, 87.2, 89.6, 90.2, 88.9, 85.7, 88.7, 89.7, 89.2, 87.0, 90.0] 32 notch 0.98 [101.7, 101.9, 101.6, 102.3, 102.7, 102.7, 102.4, 102.8, 102.9, 102.5, 101.7, 102.2, 102.3, 102.0, 101.4, 102.2, 102.5, 102.5, 101.9, 102.4, 102.5, 102.0, 101.1, 101.5, 101.5, 100.9, 99.8, 100.5, 100.6, 100.4, 99.7, 100.9] 48 notch 0.97 [106.5, 106.7, 106.7, 107.2, 107.5, 107.6, 107.4, 107.7, 107.7, 107.6, 107.2, 107.5, 107.5, 107.4, 107.0, 107.7, 108.2, 108.7, 108.8, 109.0, 109.1, 109.1, 108.9, 109.1, 109.2, 109.0, 108.7, 108.8, 108.6, 108.3, 107.9, 108.0, 107.9, 107.6, 107.0, 107.1, 107.0, 106.6, 106.1, 106.1, 105.9, 105.4, 104.6, 105.1, 105.4, 105.5, 105.4, 106.0] 64 notch 0.98 [111.0, 111.3, 111.5, 111.7, 111.8, 111.8, 111.7, 111.9, 111.9, 111.9, 111.7, 112.0, 112.2, 112.3, 112.4, 112.6, 112.7, 112.9, 112.7, 112.7, 112.6, 112.5, 112.2, 112.1, 112.0, 111.7, 111.2, 111.3, 111.2, 111.0, 110.6, 110.9, 111.0, 110.9, 110.8, 111.0, 111.0, 111.0, 110.9, 111.0, 111.0, 110.8, 110.5, 110.6, 110.5, 110.3, 110.0, 110.2, 110.4, 110.4, 110.4, 110.6, 110.7, 110.6, 110.5, 110.4, 110.2, 109.8, 109.3, 109.7, 109.9, 109.9, 109.9, 110.6] 96 notch 0.95 [113.1, 113.4, 113.6, 113.9, 114.2, 114.4, 114.6, 114.9, 115.2, 115.5, 115.6, 116.0, 116.3, 116.5, 116.7, 117.1, 117.4, 118.2, 118.4, 118.6, 118.7, 118.8, 118.9, 119.1, 119.2, 119.4, 119.4, 119.3, 119.1, 118.9, 118.6, 118.7, 118.7, 118.6, 118.5, 118.5, 118.5, 118.4, 118.3, 118.3, 118.2, 118.2, 118.0, 118.2, 118.3, 118.5, 118.6, 118.6, 118.6, 118.5, 118.3, 118.4, 118.4, 118.3, 118.3, 118.2, 118.0, 117.9, 117.6, 117.5, 117.4, 117.3, 117.1, 117.4, 117.6, 117.7, 117.8, 117.7, 117.5, 117.3, 117.1, 116.9, 116.7, 116.5, 116.2, 116.0, 115.8, 115.5, 115.2, 115.0, 114.8, 114.5, 114.2, 114.0, 113.7, 113.4, 112.9, 112.6, 112.3, 111.8, 111.2, 111.7, 112.0, 112.3, 112.4, 112.9] 128 notch 0.95 [117.9, 118.2, 118.4, 118.7, 119.0, 119.1, 119.3, 119.6, 119.8, 120.0, 120.1, 120.5, 120.8, 121.1, 121.3, 121.6, 121.9, 123.1, 123.4, 123.6, 123.8, 124.0, 124.2, 124.3, 124.4, 124.5, 124.5, 124.5, 124.4, 124.3, 124.2, 124.2, 124.3, 124.3, 124.2, 124.3, 124.4, 124.4, 124.5, 124.5, 124.6, 124.6, 124.6, 124.7, 124.7, 124.7, 124.7, 124.7, 124.7, 124.6, 124.5, 124.5, 124.4, 124.3, 124.2, 124.1, 124.0, 123.9, 123.7, 123.6, 123.4, 123.3, 123.1, 123.3, 123.5, 123.6, 123.7, 123.7, 123.6, 123.5, 123.4, 123.3, 123.1, 123.0, 122.7, 122.7, 122.6, 122.5, 122.3, 122.0, 121.7, 121.2, 120.7, 120.4, 120.0, 119.5, 118.9, 118.5, 118.2, 117.7, 117.2, 117.2, 117.3, 117.2, 117.2, 117.3, 117.3, 117.3, 117.2, 117.2, 117.1, 117.0, 116.8, 116.8, 116.9, 116.8, 116.8, 116.8, 116.7, 116.7, 116.6, 116.6, 116.6, 116.6, 116.6, 116.6, 116.5, 116.4, 116.3, 116.4, 116.4, 116.4, 116.4, 116.8, 117.1, 117.4, 117.6, 118.0] 256 notch 0.90 [137.6, 137.5, 137.4, 137.4, 137.4, 137.3, 137.3, 137.2, 137.2, 137.1, 137.1, 137.1, 137.2, 137.2, 137.1, 137.1, 137.1, 138.9, 138.9, 138.9, 138.8, 138.8, 138.8, 138.6, 138.4, 138.2, 138.0, 137.8, 137.7, 137.5, 137.4, 137.2, 137.1, 137.0, 136.9, 136.8, 136.8, 136.7, 136.7, 136.6, 136.5, 136.4, 136.3, 136.1, 135.9, 135.8, 135.6, 135.5, 135.4, 135.3, 135.3, 135.1, 135.0, 134.8, 134.6, 134.4, 134.2, 133.9, 133.7, 133.4, 133.2, 132.9, 132.6, 132.6, 132.7, 132.7, 132.7, 132.5, 132.2, 132.0, 131.7, 131.4, 131.1, 130.7, 130.3, 130.0, 129.6, 129.2, 128.8, 128.4, 127.9, 127.4, 126.8, 126.2, 125.5, 124.8, 123.9, 123.6, 123.2, 122.8, 122.4, 122.5, 122.5, 122.6, 122.6, 122.7, 122.8, 122.9, 122.9, 122.9, 123.0, 123.0, 123.0, 123.0, 123.0, 123.0, 123.0, 123.1, 123.1, 123.1, 123.1, 123.1, 123.1, 123.1, 123.1, 123.2, 123.2, 123.3, 123.3, 123.4, 123.4, 123.4, 123.3, 123.9, 124.3, 124.7, 125.1, 125.7, 126.2, 126.8, 127.3, 127.7, 128.0, 128.3, 128.6, 128.9, 129.3, 129.6, 129.9, 130.4, 130.8, 131.2, 131.6, 131.9, 132.3, 132.6, 132.8, 133.1, 133.4, 133.7, 133.9, 134.2, 134.4, 134.7, 134.9, 134.9, 134.9, 134.9, 134.9, 135.0, 135.0, 135.1, 135.1, 135.3, 135.4, 135.5, 135.6, 135.8, 136.0, 136.2, 136.3, 136.5, 136.7, 136.9, 137.1, 137.1, 137.2, 137.2, 137.2, 137.3, 137.3, 137.4, 137.5, 137.6, 137.7, 137.9, 138.0, 138.0, 138.0, 138.1, 138.1, 138.2, 138.2, 138.3, 138.3, 138.4, 138.6, 138.7, 138.9, 139.0, 139.1, 139.2, 139.3, 139.4, 139.6, 139.7, 139.8, 139.9, 139.9, 139.9, 139.9, 140.0, 140.1, 140.2, 140.3, 140.3, 140.4, 140.4, 140.5, 140.5, 140.5, 140.5, 140.4, 140.4, 140.4, 140.3, 140.3, 140.2, 140.1, 140.0, 139.9, 139.8, 139.8, 139.7, 139.6, 139.6, 139.5, 139.5, 139.4, 139.3, 139.2, 139.2, 139.1, 139.0, 138.9, 138.8, 138.7, 138.8, 139.0, 139.1, 139.3, 139.2, 139.2, 139.2, 139.2, 139.1] Best integration estimate: blockSize: 4 @ offset 2 Block integration started at entry 2 with block size of 4 readings timeDelta: 0.133466 seconds per block timestamp error rate: 0.0% #################### Session ended: Thu Sep 9 21:40:06 2021 ####################