Observation information
- date-obs: 2024-07-05
- time-obs: 03:20:08.949600000
- date-end: 2024-07-05
- time-end: 04:16:37.946400000
- obs_id: A13_053T01_9000006326
- exposure: 3274.79317951
- 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_9000006326_47425cztM0_level2.fits
| modeM0/AS1A13_053T01_9000006326_47425cztM0_level2_quad_clean.evt
|
Size (bytes) | 227,937,600 | 53,890,560 |
Size | 217.4 MB
| 51.4 MB
|
Events in quadrant A | 3,045,579 | 353,821 |
Events in quadrant B | 1,872,781 | 365,674 |
Events in quadrant C | 1,560,812 | 351,875 |
Events in quadrant D | 1,693,141 | 319,985 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 11002 | 0 |
B | 0 | 8004 | 0 |
C | 0 | 7245 | 0 |
D | 0 | 7689 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 68 | 0 |
B | 0 | 68 | 0 |
C | 0 | 68 | 0 |
D | 0 | 68 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3390 | 106 | 3.126844% |
B | 3390 | 110 | 3.244838% |
C | 3390 | 28 | 0.825959% |
D | 3390 | 58 | 1.710914% |
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 | 3390 | 3390 | 4 | 4 | 0.12% | 0.12% | |
B | 3390 | 3390 | 47 | 47 | 1.39% | 1.39% | |
C | 3390 | 3390 | 13 | 13 | 0.38% | 0.38% | |
D | 3390 | 3390 | 37 | 37 | 1.09% | 1.09% | |
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 | 1551493 | 19557.26 | 370 | 360 | 79.3 |
A | 9 | 191 | 61198 | 767.07 | 370 | 360 | 79.3 |
A | 0 | 243 | 4500 | 52.2 | 370 | 360 | 79.3 |
B | 5 | 32 | 268314 | 3648.13 | 369 | 357 | 73.5 |
B | 5 | 255 | 122884 | 1668.16 | 369 | 357 | 73.5 |
B | 12 | 111 | 9676 | 126.87 | 369 | 357 | 73.5 |
C | 1 | 3 | 43613 | 480.13 | 376 | 375 | 90.1 |
C | 12 | 2 | 39287 | 432.09 | 376 | 375 | 90.1 |
C | 6 | 255 | 6131 | 63.92 | 376 | 375 | 90.1 |
D | 2 | 249 | 221211 | 2362.55 | 372 | 359 | 93.5 |
D | 2 | 234 | 16842 | 176.33 | 372 | 359 | 93.5 |
D | 11 | 224 | 16827 | 176.17 | 372 | 359 | 93.5 |
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. |
|
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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 | |