Observation information
- date-obs: 2020-09-03
- time-obs: 02:11:16.778600000
- date-end: 2020-09-03
- time-end: 04:28:06.765000000
- obs_id: A09_145T01_9000003848
- exposure: 4563.23687208
- sourceid: Crab
- observer: aarthy
- ra_pnt: 83.63308
- dec_pnt: 22.0145
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A09_145T01_9000003848_26672cztM0_level2.evt
| modeM0/AS1A09_145T01_9000003848_26672cztM0_level2_quad_clean.evt
|
Size (bytes) | 503,668,800 | 103,890,240 |
Size | 480.3 MB
| 99.1 MB
|
Events in quadrant A | 3,360,450 | 680,777 |
Events in quadrant B | 3,363,938 | 696,131 |
Events in quadrant C | 3,694,064 | 662,651 |
Events in quadrant D | 4,376,897 | 636,144 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 14251 | 0 |
B | 0 | 14170 | 0 |
C | 0 | 15135 | 0 |
D | 0 | 17525 | 0 |
Mode M9 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 13 | 0 |
B | 0 | 14 | 0 |
C | 0 | 14 | 0 |
D | 0 | 14 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 6742 | 42 | 0.622961% |
B | 6742 | 50 | 0.741620% |
C | 6742 | 172 | 2.551172% |
D | 6742 | 241 | 3.574607% |
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 | 7727 | 6743 | 3 | 3 | 0.04% | 0.04% |  |
B | 7727 | 6743 | 3 | 3 | 0.04% | 0.04% |  |
C | 7727 | 6743 | 59 | 59 | 0.76% | 0.87% |  |
D | 7727 | 6743 | 176 | 176 | 2.28% | 2.61% |  |
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 | 0 | 13 | 108351 | 630.52 | 842 | 829 | 170.5 |
A | 13 | 254 | 10649 | 57.59 | 842 | 829 | 170.5 |
A | 3 | 137 | 7561 | 39.48 | 842 | 829 | 170.5 |
B | 10 | 251 | 24025 | 144.81 | 843 | 823 | 160.2 |
B | 12 | 111 | 19023 | 113.59 | 843 | 823 | 160.2 |
B | 11 | 111 | 17053 | 101.29 | 843 | 823 | 160.2 |
C | 3 | 233 | 323981 | 1701.21 | 805 | 815 | 190.0 |
C | 14 | 238 | 129276 | 676.24 | 805 | 815 | 190.0 |
C | 2 | 16 | 47408 | 245.27 | 805 | 815 | 190.0 |
D | 1 | 52 | 984054 | 5021.43 | 805 | 783 | 195.8 |
D | 2 | 250 | 241043 | 1226.97 | 805 | 783 | 195.8 |
D | 13 | 104 | 36523 | 182.52 | 805 | 783 | 195.8 |
Detector plane histogram (DPH)
Histogram calculated using DETX and DETY for each event in the final _common_clean file
Quadrant A |
 |
 |
Quadrant B |
Quadrant D |
 |
 |
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 |
 |
 |
Module-wise count rates for Quadrant A
Data is divided into 100 sec bins |
 |
 |
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 |
 |
 |
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 |  |