Observation information
- date-obs: 2022-01-30
- time-obs: 07:19:59.525600000
- date-end: 2022-01-30
- time-end: 08:35:33.526100000
- obs_id: T04_086T01_9000004890
- exposure: 3765.16669257
- sourceid: VV 527
- observer: jyoti
- ra_pnt: 11.64708
- dec_pnt: 36.32861
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1T04_086T01_9000004890_34285cztM0_level2.evt
| modeM0/AS1T04_086T01_9000004890_34285cztM0_level2_quad_clean.evt
|
Size (bytes) | 393,004,800 | 71,297,280 |
Size | 374.8 MB
| 68.0 MB
|
Events in quadrant A | 2,031,482 | 464,974 |
Events in quadrant B | 2,942,605 | 464,682 |
Events in quadrant C | 2,320,202 | 472,426 |
Events in quadrant D | 4,299,491 | 437,770 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 9108 | 2 |
B | 0 | 11675 | 1 |
C | 0 | 9609 | 1 |
D | 0 | 15888 | 1 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 92 | 0 |
B | 0 | 92 | 0 |
C | 0 | 92 | 0 |
D | 0 | 92 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 4534 | 4 | 0.088222% |
B | 4534 | 124 | 2.734892% |
C | 4534 | 21 | 0.463167% |
D | 4534 | 155 | 3.418615% |
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 | 4534 | 4534 | 0 | 0 | 0.00% | 0.00% | |
B | 4534 | 4534 | 86 | 86 | 1.90% | 1.90% | |
C | 4534 | 4534 | 12 | 12 | 0.26% | 0.26% | |
D | 4534 | 4534 | 143 | 143 | 3.15% | 3.15% | |
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 | 9145 | 82.74 | 516 | 505 | 104.4 |
A | 13 | 254 | 8658 | 78.08 | 516 | 505 | 104.4 |
A | 13 | 6 | 6788 | 60.17 | 516 | 505 | 104.4 |
B | 5 | 172 | 477685 | 4851.17 | 508 | 494 | 98.4 |
B | 4 | 251 | 204366 | 2072.58 | 508 | 494 | 98.4 |
B | 0 | 245 | 127911 | 1295.33 | 508 | 494 | 98.4 |
C | 15 | 214 | 192981 | 1640.25 | 505 | 510 | 117.3 |
C | 14 | 254 | 71577 | 605.64 | 505 | 510 | 117.3 |
C | 0 | 10 | 20939 | 174.1 | 505 | 510 | 117.3 |
D | 8 | 195 | 953294 | 7776.04 | 501 | 488 | 122.5 |
D | 12 | 235 | 351739 | 2866.63 | 501 | 488 | 122.5 |
D | 8 | 230 | 335163 | 2731.35 | 501 | 488 | 122.5 |
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. |
|
|
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 |
|
|
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 | |