Observation information
- date-obs: 2024-05-28
- time-obs: 01:01:43.583400000
- date-end: 2024-05-28
- time-end: 03:19:14.573300000
- obs_id: A13_053T01_9000006274
- exposure: 7820.85428804
- 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_9000006274_46857cztM0_level2.fits
| modeM0/AS1A13_053T01_9000006274_46857cztM0_level2_quad_clean.evt
|
Size (bytes) | 557,645,760 | 131,405,760 |
Size | 531.8 MB
| 125.3 MB
|
Events in quadrant A | 7,255,121 | 883,193 |
Events in quadrant B | 4,134,191 | 900,949 |
Events in quadrant C | 3,676,746 | 857,538 |
Events in quadrant D | 4,936,252 | 763,591 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 26636 | 0 |
B | 0 | 17990 | 0 |
C | 0 | 17037 | 0 |
D | 0 | 20796 | 5 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 166 | 0 |
B | 0 | 166 | 0 |
C | 0 | 166 | 0 |
D | 0 | 166 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 8251 | 84 | 1.018058% |
B | 8251 | 52 | 0.630227% |
C | 8252 | 24 | 0.290839% |
D | 8251 | 413 | 5.005454% |
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 | 8251 | 8251 | 6 | 6 | 0.07% | 0.07% | |
B | 8251 | 8251 | 16 | 16 | 0.19% | 0.19% | |
C | 8252 | 8252 | 9 | 9 | 0.11% | 0.11% | |
D | 8252 | 8252 | 304 | 304 | 3.68% | 3.68% | |
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 | 3665322 | 19213.61 | 911 | 888 | 190.7 |
A | 13 | 248 | 24519 | 123.9 | 911 | 888 | 190.7 |
A | 4 | 0 | 19587 | 98.04 | 911 | 888 | 190.7 |
B | 12 | 3 | 282293 | 1573.73 | 908 | 879 | 178.8 |
B | 3 | 112 | 145727 | 810.02 | 908 | 879 | 178.8 |
B | 0 | 200 | 32121 | 174.71 | 908 | 879 | 178.8 |
C | 1 | 241 | 86833 | 406.06 | 898 | 900 | 211.6 |
C | 14 | 254 | 84412 | 394.62 | 898 | 900 | 211.6 |
C | 13 | 61 | 5879 | 23.53 | 898 | 900 | 211.6 |
D | 13 | 249 | 974974 | 4458.5 | 879 | 850 | 218.5 |
D | 1 | 52 | 462895 | 2114.75 | 879 | 850 | 218.5 |
D | 5 | 171 | 50400 | 226.79 | 879 | 850 | 218.5 |
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 | |