Observation information
- date-obs: 2024-05-30
- time-obs: 00:06:46.370600000
- date-end: 2024-05-30
- time-end: 01:25:00.364600000
- obs_id: A13_053T01_9000006274
- exposure: 4440.36329126
- 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_46886cztM0_level2.fits
| modeM0/AS1A13_053T01_9000006274_46886cztM0_level2_quad_clean.evt
|
Size (bytes) | 347,745,600 | 73,376,640 |
Size | 331.6 MB
| 70.0 MB
|
Events in quadrant A | 4,064,156 | 493,640 |
Events in quadrant B | 3,434,798 | 496,230 |
Events in quadrant C | 1,980,083 | 476,940 |
Events in quadrant D | 3,028,067 | 425,128 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 14779 | 0 |
B | 0 | 13414 | 0 |
C | 0 | 9606 | 0 |
D | 0 | 12540 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 94 | 0 |
B | 0 | 94 | 0 |
C | 0 | 94 | 0 |
D | 0 | 94 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 4695 | 9 | 0.191693% |
B | 4695 | 102 | 2.172524% |
C | 4695 | 20 | 0.425985% |
D | 4695 | 267 | 5.686901% |
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 | 4695 | 4695 | 4 | 4 | 0.09% | 0.09% | |
B | 4695 | 4695 | 54 | 54 | 1.15% | 1.15% | |
C | 4695 | 4695 | 18 | 18 | 0.38% | 0.38% | |
D | 4695 | 4695 | 239 | 239 | 5.09% | 5.09% | |
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 | 2112765 | 20479.95 | 491 | 479 | 103.1 |
A | 13 | 248 | 38652 | 370.11 | 491 | 479 | 103.1 |
A | 13 | 254 | 6642 | 59.75 | 491 | 479 | 103.1 |
B | 3 | 112 | 1343962 | 14030.37 | 483 | 469 | 95.8 |
B | 15 | 36 | 38598 | 398.19 | 483 | 469 | 95.8 |
B | 4 | 171 | 34645 | 356.91 | 483 | 469 | 95.8 |
C | 14 | 254 | 91407 | 793.94 | 483 | 485 | 114.5 |
C | 13 | 61 | 3212 | 23.81 | 483 | 485 | 114.5 |
C | 14 | 67 | 2823 | 20.42 | 483 | 485 | 114.5 |
D | 13 | 249 | 498877 | 4160.69 | 474 | 459 | 119.8 |
D | 2 | 249 | 489894 | 4085.7 | 474 | 459 | 119.8 |
D | 12 | 233 | 143628 | 1195.14 | 474 | 459 | 119.8 |
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. |
|
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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 | |