Observation information
- date-obs: 2024-05-19
- time-obs: 04:56:15.327200000
- date-end: 2024-05-19
- time-end: 07:13:44.322600000
- obs_id: A13_092T09_9000006258
- exposure: 7013.9222641
- sourceid: Gal_57
- observer: Smitha
- ra_pnt: 144.4485
- dec_pnt: 27.56603
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_092T09_9000006258_46726cztM0_level2.fits
| modeM0/AS1A13_092T09_9000006258_46726cztM0_level2_quad_clean.evt
|
Size (bytes) | 660,484,800 | 126,472,320 |
Size | 629.9 MB
| 120.6 MB
|
Events in quadrant A | 7,667,832 | 849,982 |
Events in quadrant B | 4,095,212 | 884,228 |
Events in quadrant C | 3,682,693 | 857,998 |
Events in quadrant D | 8,364,332 | 663,894 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 28055 | 2 |
B | 0 | 17842 | 6 |
C | 0 | 17101 | 0 |
D | 0 | 30705 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 164 | 0 |
B | 0 | 164 | 0 |
C | 0 | 164 | 0 |
D | 0 | 164 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 8248 | 169 | 2.048982% |
B | 8247 | 63 | 0.763914% |
C | 8249 | 8 | 0.096981% |
D | 8249 | 1413 | 17.129349% |
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 | 8248 | 8248 | 74 | 74 | 0.90% | 0.90% | |
B | 8249 | 8248 | 6 | 6 | 0.07% | 0.07% | |
C | 8249 | 8249 | 12 | 12 | 0.15% | 0.15% | |
D | 8249 | 8249 | 1320 | 1320 | 16.00% | 16.00% | |
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 | 3796921 | 19884.51 | 912 | 891 | 190.9 |
A | 15 | 235 | 173085 | 901.99 | 912 | 891 | 190.9 |
A | 14 | 235 | 118018 | 613.54 | 912 | 891 | 190.9 |
B | 4 | 171 | 199634 | 1071.99 | 917 | 885 | 185.4 |
B | 3 | 112 | 130175 | 697.35 | 917 | 885 | 185.4 |
B | 0 | 198 | 59519 | 316.25 | 917 | 885 | 185.4 |
C | 3 | 233 | 125408 | 582.91 | 902 | 905 | 213.6 |
C | 14 | 254 | 12437 | 53.99 | 902 | 905 | 213.6 |
C | 1 | 241 | 8061 | 33.5 | 902 | 905 | 213.6 |
D | 1 | 52 | 4564915 | 21690.34 | 832 | 805 | 210.4 |
D | 10 | 246 | 154695 | 731.34 | 832 | 805 | 210.4 |
D | 13 | 249 | 141911 | 670.59 | 832 | 805 | 210.4 |
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 | |