Observation information
- date-obs: 2020-12-08
- time-obs: 21:23:00.335900000
- date-end: 2020-12-08
- time-end: 23:50:46.336300000
- obs_id: A10_057T05_9000004060
- exposure: 5094.97806388
- sourceid: UGC 4722
- observer: Smitha
- ra_pnt: 135.1004
- dec_pnt: 25.61481
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A10_057T05_9000004060_28105cztM0_level2.evt
| modeM0/AS1A10_057T05_9000004060_28105cztM0_level2_quad_clean.evt
|
Size (bytes) | 479,831,040 | 103,668,480 |
Size | 457.6 MB
| 98.9 MB
|
Events in quadrant A | 3,367,936 | 682,872 |
Events in quadrant B | 3,452,885 | 676,494 |
Events in quadrant C | 3,541,616 | 643,675 |
Events in quadrant D | 3,687,305 | 642,862 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 14627 | 0 |
B | 0 | 14880 | 0 |
C | 0 | 15143 | 0 |
D | 0 | 15893 | 0 |
Mode M9 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 17 | 0 |
B | 0 | 17 | 0 |
C | 0 | 17 | 0 |
D | 0 | 17 | 1 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 7086 | 49 | 0.691504% |
B | 7091 | 65 | 0.916655% |
C | 7093 | 93 | 1.311152% |
D | 7085 | 72 | 1.016231% |
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 | 8866 | 7145 | 0 | 0 | 0.00% | 0.00% |  |
B | 8867 | 7149 | 1 | 1 | 0.01% | 0.01% |  |
C | 8867 | 7155 | 0 | 0 | 0.00% | 0.00% |  |
D | 8866 | 7147 | 35 | 35 | 0.39% | 0.49% |  |
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 | 5 | 98 | 14863 | 80.47 | 867 | 848 | 174.2 |
A | 13 | 254 | 12304 | 65.78 | 867 | 848 | 174.2 |
A | 3 | 137 | 8621 | 44.63 | 867 | 848 | 174.2 |
B | 0 | 230 | 37965 | 225.33 | 859 | 837 | 164.8 |
B | 12 | 111 | 20825 | 121.31 | 859 | 837 | 164.8 |
B | 11 | 111 | 18903 | 109.64 | 859 | 837 | 164.8 |
C | 3 | 233 | 181727 | 928.23 | 827 | 833 | 194.9 |
C | 14 | 238 | 132447 | 675.35 | 827 | 833 | 194.9 |
C | 13 | 61 | 5709 | 25.02 | 827 | 833 | 194.9 |
D | 2 | 250 | 207307 | 1032.39 | 833 | 808 | 200.0 |
D | 1 | 52 | 202940 | 1010.56 | 833 | 808 | 200.0 |
D | 8 | 195 | 78056 | 386.2 | 833 | 808 | 200.0 |
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 |  |