Observation information
- date-obs: 2024-04-02
- time-obs: 09:59:27.959200000
- date-end: 2024-04-02
- time-end: 11:11:19.957700000
- obs_id: A13_033T02_9000006154
- exposure: 3347.07228953
- sourceid: A2151 2
- observer: CBellhouse
- ra_pnt: 241.6
- dec_pnt: 17.6
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_033T02_9000006154_46033cztM0_level2.fits
| modeM0/AS1A13_033T02_9000006154_46033cztM0_level2_quad_clean.evt
|
Size (bytes) | 418,743,360 | 64,212,480 |
Size | 399.3 MB
| 61.2 MB
|
Events in quadrant A | 3,611,243 | 448,744 |
Events in quadrant B | 6,285,789 | 365,395 |
Events in quadrant C | 2,058,376 | 443,412 |
Events in quadrant D | 3,209,725 | 383,021 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 86 | 0 |
B | 0 | 86 | 0 |
C | 0 | 86 | 0 |
D | 0 | 86 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 13171 | 0 |
B | 0 | 21713 | 0 |
C | 0 | 9270 | 0 |
D | 0 | 12480 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 4312 | 19 | 0.440631% |
B | 4313 | 1247 | 28.912590% |
C | 4313 | 41 | 0.950614% |
D | 4313 | 328 | 7.604915% |
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 | 4312 | 4312 | 3 | 3 | 0.07% | 0.07% | |
B | 4313 | 4313 | 940 | 940 | 21.79% | 21.79% | |
C | 4313 | 4313 | 41 | 41 | 0.95% | 0.95% | |
D | 4313 | 4313 | 303 | 303 | 7.03% | 7.03% | |
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 | 1774172 | 17855.78 | 469 | 459 | 99.3 |
A | 13 | 248 | 17426 | 170.81 | 469 | 459 | 99.3 |
A | 13 | 254 | 8011 | 76.03 | 469 | 459 | 99.3 |
B | 3 | 112 | 4395521 | 50745.35 | 431 | 419 | 86.6 |
B | 0 | 183 | 110242 | 1268.0 | 431 | 419 | 86.6 |
B | 4 | 171 | 21332 | 241.46 | 431 | 419 | 86.6 |
C | 14 | 254 | 179125 | 1617.63 | 462 | 464 | 110.4 |
C | 0 | 207 | 67165 | 603.92 | 462 | 464 | 110.4 |
C | 1 | 3 | 6976 | 58.96 | 462 | 464 | 110.4 |
D | 2 | 249 | 562054 | 4844.01 | 449 | 434 | 115.9 |
D | 1 | 52 | 303108 | 2610.58 | 449 | 434 | 115.9 |
D | 13 | 249 | 247360 | 2129.75 | 449 | 434 | 115.9 |
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 |
|
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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 | |