Observation information
- date-obs: 2024-08-14
- time-obs: 07:17:44.793300000
- date-end: 2024-08-14
- time-end: 08:18:11.776900000
- obs_id: A13_053T01_9000006388
- exposure: 3523.07825345
- sourceid: Fairall 9
- observer: arijit
- ra_pnt: 20.94074
- dec_pnt: -58.80578
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_053T01_9000006388_48020cztM0_level2.fits
| modeM0/AS1A13_053T01_9000006388_48020cztM0_level2_quad_clean.evt
|
Size (bytes) | 243,656,640 | 58,510,080 |
Size | 232.4 MB
| 55.8 MB
|
Events in quadrant A | 3,597,962 | 386,991 |
Events in quadrant B | 1,640,282 | 397,161 |
Events in quadrant C | 1,738,154 | 379,734 |
Events in quadrant D | 1,759,641 | 351,090 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 72 | 0 |
B | 0 | 72 | 0 |
C | 0 | 72 | 0 |
D | 0 | 72 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 13482 | 0 |
B | 0 | 7446 | 0 |
C | 0 | 7816 | 0 |
D | 0 | 7915 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3628 | 47 | 1.295480% |
B | 3628 | 8 | 0.220507% |
C | 3628 | 31 | 0.854465% |
D | 3628 | 21 | 0.578831% |
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 | 3628 | 3628 | 6 | 6 | 0.17% | 0.17% | |
B | 3628 | 3628 | 0 | 0 | 0.00% | 0.00% | |
C | 3628 | 3628 | 22 | 22 | 0.61% | 0.61% | |
D | 3628 | 3628 | 21 | 21 | 0.58% | 0.58% | |
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 | 1957753 | 22804.8 | 402 | 392 | 85.8 |
A | 13 | 248 | 79259 | 918.86 | 402 | 392 | 85.8 |
A | 13 | 254 | 5961 | 64.88 | 402 | 392 | 85.8 |
B | 0 | 198 | 17598 | 209.99 | 406 | 392 | 81.9 |
B | 12 | 111 | 10487 | 123.21 | 406 | 392 | 81.9 |
B | 11 | 111 | 9562 | 111.92 | 406 | 392 | 81.9 |
C | 12 | 2 | 113554 | 1190.45 | 398 | 400 | 95.1 |
C | 14 | 254 | 47483 | 495.34 | 398 | 400 | 95.1 |
C | 3 | 233 | 12836 | 130.83 | 398 | 400 | 95.1 |
D | 13 | 29 | 136671 | 1373.58 | 395 | 382 | 99.2 |
D | 7 | 67 | 50418 | 504.28 | 395 | 382 | 99.2 |
D | 2 | 234 | 18460 | 182.2 | 395 | 382 | 99.2 |
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 |
|
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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 |
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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 | |