Observation information
- date-obs: 2024-03-27
- time-obs: 11:18:05.207600000
- date-end: 2024-03-27
- time-end: 12:29:41.205700000
- obs_id: A13_033T03_9000006144
- exposure: 2456.10847157
- sourceid: A2151 3
- observer: CBellhouse
- ra_pnt: 240.5343
- dec_pnt: 18.07492
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_033T03_9000006144_45944cztM0_level2.fits
| modeM0/AS1A13_033T03_9000006144_45944cztM0_level2_quad_clean.evt
|
Size (bytes) | 466,464,960 | 61,246,080 |
Size | 444.9 MB
| 58.4 MB
|
Events in quadrant A | 3,741,495 | 439,358 |
Events in quadrant B | 7,723,073 | 268,523 |
Events in quadrant C | 1,955,787 | 443,275 |
Events in quadrant D | 3,512,785 | 400,621 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 13662 | 0 |
B | 0 | 25934 | 0 |
C | 0 | 8982 | 0 |
D | 0 | 13470 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 86 | 0 |
B | 0 | 86 | 0 |
C | 0 | 86 | 0 |
D | 0 | 86 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 4296 | 119 | 2.770019% |
B | 4296 | 2238 | 52.094972% |
C | 4297 | 4 | 0.093088% |
D | 4297 | 99 | 2.303933% |
Noise dominated fraction
Noise dominated data is calculated using 1-second bins in cleaned event files. If a bin has >2000 counts, and if more than 50% of those come from <1% of pixels, then it is considered to be noise-dominated and hence unusable.
Quadrant |
# 1 sec bins |
Bins with >0 counts |
Bins with >2000 counts |
High rate bins dominated by noise |
Noise dominated (total time) |
Noise dominated (detector-on time) |
Marked lightcurve |
A | 4296 | 4296 | 94 | 94 | 2.19% | 2.19% | |
B | 4296 | 4296 | 1750 | 1750 | 40.74% | 40.74% | |
C | 4297 | 4297 | 4 | 4 | 0.09% | 0.09% | |
D | 4297 | 4297 | 84 | 84 | 1.95% | 1.95% | |
Top noisy pixels
Top three noisy pixels from each quadrant. If the there are fewer than three noisy pixels in the level2.evt file, extra rows are filled as -1
Pixel properties |
Quadrant properties |
Quadrant |
DetID |
PixID |
Counts |
Sigma |
Mean |
Median |
Sigma |
A | 10 | 83 | 1696539 | 17163.43 | 467 | 457 | 98.8 |
A | 0 | 247 | 220523 | 2226.95 | 467 | 457 | 98.8 |
A | 0 | 226 | 19191 | 189.58 | 467 | 457 | 98.8 |
B | 3 | 112 | 5974911 | 74354.34 | 397 | 383 | 80.4 |
B | 4 | 158 | 64807 | 801.77 | 397 | 383 | 80.4 |
B | 5 | 172 | 48494 | 598.75 | 397 | 383 | 80.4 |
C | 14 | 254 | 119483 | 1067.17 | 466 | 470 | 111.5 |
C | 12 | 249 | 15605 | 135.71 | 466 | 470 | 111.5 |
C | 12 | 2 | 3867 | 30.46 | 466 | 470 | 111.5 |
D | 11 | 241 | 826949 | 6942.62 | 463 | 449 | 119.0 |
D | 12 | 233 | 275263 | 2308.44 | 463 | 449 | 119.0 |
D | 2 | 249 | 257056 | 2155.5 | 463 | 449 | 119.0 |
Detector plane histogram (DPH)
Histogram calculated using DETX and DETY for each event in the final _common_clean file
Quadrant A |
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|
Quadrant B |
Quadrant D |
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Quadrant C |
Count rate plots and images
Plot type |
Count rate plots |
Images |
Comparison with Poisson distribution
Blue bars denote a histogram of data divided into 1 sec bins.
Red curve is a Poisson curve with rate = median count rate of data. |
|
|
Quadrant-wise count rates
Data is divided into 100 sec bins |
|
|
Module-wise count rates for Quadrant A
Data is divided into 100 sec bins |
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Module-wise count rates for Quadrant B
Data is divided into 100 sec bins |
|
|
Module-wise count rates for Quadrant C
Data is divided into 100 sec bins |
|
|
Module-wise count rates for Quadrant D
Data is divided into 100 sec bins |
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|
Housekeeping plots
Parameter |
Plot |
CZT HV Monitor | |
D_VDD | |
Temperature 1 | |
Veto HV Monitor | |
Veto LLD | |
Alpha Counter | |
_CPM_Rate | |
CZT Counter | |
+2.5 Volts monitor | |
+5 Volts monitor | |
_ROLL_ROT | |
_Roll_DEC | |
_Roll_RA | |
Veto Counter | |