Observation information
- date-obs: 2024-05-17
- time-obs: 04:39:03.469600000
- date-end: 2024-05-17
- time-end: 05:46:05.467800000
- obs_id: A13_092T20_9000006254
- exposure: 3847.39482719
- sourceid: Gal_74
- observer: Smitha
- ra_pnt: 151.171
- dec_pnt: 29.36533
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_092T20_9000006254_46702cztM0_level2.fits
| modeM0/AS1A13_092T20_9000006254_46702cztM0_level2_quad_clean.evt
|
Size (bytes) | 300,692,160 | 61,830,720 |
Size | 286.8 MB
| 59.0 MB
|
Events in quadrant A | 3,886,317 | 403,737 |
Events in quadrant B | 1,912,748 | 422,620 |
Events in quadrant C | 1,882,066 | 402,942 |
Events in quadrant D | 3,136,004 | 358,839 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 82 | 0 |
B | 0 | 82 | 0 |
C | 0 | 82 | 0 |
D | 0 | 82 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 14239 | 0 |
B | 0 | 8517 | 0 |
C | 0 | 8601 | 0 |
D | 0 | 12163 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 4022 | 112 | 2.784684% |
B | 4022 | 4 | 0.099453% |
C | 4022 | 30 | 0.745898% |
D | 4023 | 177 | 4.399702% |
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 | 4022 | 4022 | 91 | 91 | 2.26% | 2.26% | |
B | 4022 | 4022 | 2 | 2 | 0.05% | 0.05% | |
C | 4022 | 4022 | 20 | 20 | 0.50% | 0.50% | |
D | 4023 | 4023 | 153 | 153 | 3.80% | 3.80% | |
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 | 1947885 | 22013.7 | 415 | 405 | 88.5 |
A | 13 | 248 | 288160 | 3252.69 | 415 | 405 | 88.5 |
A | 9 | 191 | 9019 | 97.37 | 415 | 405 | 88.5 |
B | 0 | 198 | 109878 | 1329.3 | 414 | 403 | 82.4 |
B | 0 | 190 | 55433 | 668.2 | 414 | 403 | 82.4 |
B | 15 | 36 | 25696 | 307.12 | 414 | 403 | 82.4 |
C | 1 | 241 | 140200 | 1440.94 | 407 | 408 | 97.0 |
C | 12 | 2 | 112537 | 1155.8 | 407 | 408 | 97.0 |
C | 8 | 131 | 21916 | 221.7 | 407 | 408 | 97.0 |
D | 1 | 52 | 663479 | 6410.32 | 405 | 392 | 103.4 |
D | 13 | 249 | 308712 | 2980.65 | 405 | 392 | 103.4 |
D | 13 | 29 | 245592 | 2370.45 | 405 | 392 | 103.4 |
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. |
|
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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 | |