Observation information
- date-obs: 2024-05-10
- time-obs: 10:09:05.919500000
- date-end: 2024-05-10
- time-end: 11:07:34.893800000
- obs_id: A13_092T08_9000006236
- exposure: 3021.67831951
- sourceid: Gal_29
- observer: Smitha
- ra_pnt: 119.3583
- dec_pnt: 35.93917
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_092T08_9000006236_46595cztM0_level2.fits
| modeM0/AS1A13_092T08_9000006236_46595cztM0_level2_quad_clean.evt
|
Size (bytes) | 285,007,680 | 56,436,480 |
Size | 271.8 MB
| 53.8 MB
|
Events in quadrant A | 3,319,732 | 378,160 |
Events in quadrant B | 1,841,218 | 396,626 |
Events in quadrant C | 1,770,911 | 379,760 |
Events in quadrant D | 3,344,172 | 305,112 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 72 | 0 |
B | 0 | 72 | 0 |
C | 0 | 72 | 0 |
D | 0 | 72 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 12122 | 0 |
B | 0 | 7792 | 0 |
C | 0 | 7736 | 0 |
D | 0 | 12349 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3510 | 107 | 3.048433% |
B | 3510 | 56 | 1.595442% |
C | 3510 | 41 | 1.168091% |
D | 3510 | 547 | 15.584046% |
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 | 3510 | 3510 | 1 | 1 | 0.03% | 0.03% | |
B | 3510 | 3510 | 1 | 1 | 0.03% | 0.03% | |
C | 3510 | 3510 | 32 | 32 | 0.91% | 0.91% | |
D | 3510 | 3510 | 383 | 383 | 10.91% | 10.91% | |
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 | 1556195 | 17128.34 | 429 | 418 | 90.8 |
A | 9 | 191 | 67317 | 736.53 | 429 | 418 | 90.8 |
A | 2 | 79 | 10286 | 108.64 | 429 | 418 | 90.8 |
B | 5 | 172 | 31223 | 349.3 | 429 | 417 | 88.2 |
B | 15 | 201 | 25460 | 283.96 | 429 | 417 | 88.2 |
B | 10 | 128 | 19310 | 214.22 | 429 | 417 | 88.2 |
C | 14 | 254 | 76173 | 746.73 | 420 | 421 | 101.4 |
C | 12 | 2 | 31257 | 303.97 | 420 | 421 | 101.4 |
C | 1 | 3 | 10817 | 102.48 | 420 | 421 | 101.4 |
D | 1 | 52 | 639371 | 6218.08 | 398 | 384 | 102.8 |
D | 2 | 249 | 519644 | 5053.0 | 398 | 384 | 102.8 |
D | 11 | 224 | 340907 | 3313.68 | 398 | 384 | 102.8 |
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 | |