Observation information
- date-obs: 2024-04-08
- time-obs: 06:35:59.729900000
- date-end: 2024-04-08
- time-end: 08:23:04.725500000
- obs_id: A13_092T04_9000006172
- exposure: 5020.0619638
- sourceid: Gal_46_47
- observer: Smitha
- ra_pnt: 133.1406
- dec_pnt: 13.84119
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_092T04_9000006172_46120cztM0_level2.fits
| modeM0/AS1A13_092T04_9000006172_46120cztM0_level2_quad_clean.evt
|
Size (bytes) | 560,845,440 | 97,727,040 |
Size | 534.9 MB
| 93.2 MB
|
Events in quadrant A | 5,409,290 | 661,790 |
Events in quadrant B | 3,461,861 | 686,853 |
Events in quadrant C | 3,019,388 | 676,645 |
Events in quadrant D | 8,371,827 | 485,226 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 128 | 0 |
B | 0 | 128 | 0 |
C | 0 | 128 | 0 |
D | 0 | 128 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 19952 | 0 |
B | 0 | 14565 | 0 |
C | 0 | 13591 | 0 |
D | 0 | 29261 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 6425 | 275 | 4.280156% |
B | 6425 | 256 | 3.984436% |
C | 6426 | 74 | 1.151572% |
D | 6426 | 1670 | 25.988173% |
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 | 6425 | 6425 | 0 | 0 | 0.00% | 0.00% | |
B | 6425 | 6425 | 21 | 21 | 0.33% | 0.33% | |
C | 6426 | 6426 | 8 | 8 | 0.12% | 0.12% | |
D | 6426 | 6426 | 1201 | 1201 | 18.69% | 18.69% | |
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 | 2457151 | 15522.03 | 749 | 732 | 158.3 |
A | 0 | 247 | 26285 | 161.47 | 749 | 732 | 158.3 |
A | 13 | 6 | 11551 | 68.36 | 749 | 732 | 158.3 |
B | 12 | 16 | 206879 | 1358.09 | 747 | 721 | 151.8 |
B | 3 | 112 | 139335 | 913.14 | 747 | 721 | 151.8 |
B | 0 | 190 | 51588 | 335.09 | 747 | 721 | 151.8 |
C | 12 | 2 | 54243 | 305.14 | 741 | 744 | 175.3 |
C | 2 | 14 | 32338 | 180.2 | 741 | 744 | 175.3 |
C | 3 | 9 | 21581 | 118.85 | 741 | 744 | 175.3 |
D | 1 | 52 | 2171001 | 13292.44 | 647 | 627 | 163.3 |
D | 2 | 37 | 1874000 | 11473.46 | 647 | 627 | 163.3 |
D | 13 | 249 | 1238307 | 7580.16 | 647 | 627 | 163.3 |
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 |
|
|
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 | |