Observation information
- date-obs: 2020-11-14
- time-obs: 15:51:15.171100000
- date-end: 2020-11-14
- time-end: 18:07:32.171200000
- obs_id: A10_002T05_9000004000
- exposure: 4888.49689285
- sourceid: M31 Field No. 2
- observer: dleahy
- ra_pnt: 11.037
- dec_pnt: 41.55735
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A10_002T05_9000004000_27747cztM0_level2.evt
| modeM0/AS1A10_002T05_9000004000_27747cztM0_level2_quad_clean.evt
|
Size (bytes) | 514,535,040 | 118,010,880 |
Size | 490.7 MB
| 112.5 MB
|
Events in quadrant A | 3,699,842 | 803,033 |
Events in quadrant B | 3,523,647 | 801,305 |
Events in quadrant C | 3,600,814 | 771,371 |
Events in quadrant D | 4,320,711 | 748,292 |
Level1 data integrity
Mode M9 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 17 | 0 |
B | 0 | 18 | 0 |
C | 0 | 18 | 0 |
D | 0 | 18 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 15372 | 0 |
B | 0 | 14642 | 0 |
C | 0 | 14789 | 0 |
D | 0 | 17224 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 6459 | 81 | 1.254064% |
B | 6459 | 71 | 1.099241% |
C | 6459 | 107 | 1.656603% |
D | 6459 | 155 | 2.399752% |
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 | 7754 | 6459 | 4 | 4 | 0.05% | 0.06% |  |
B | 7754 | 6459 | 3 | 3 | 0.04% | 0.05% |  |
C | 7754 | 6459 | 0 | 0 | 0.00% | 0.00% |  |
D | 7754 | 6459 | 83 | 83 | 1.07% | 1.29% |  |
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 | 222992 | 1283.03 | 880 | 867 | 173.1 |
A | 6 | 16 | 70036 | 399.53 | 880 | 867 | 173.1 |
A | 8 | 192 | 14319 | 77.7 | 880 | 867 | 173.1 |
B | 0 | 190 | 61930 | 382.33 | 863 | 844 | 159.8 |
B | 10 | 245 | 42257 | 259.2 | 863 | 844 | 159.8 |
B | 4 | 200 | 21119 | 126.9 | 863 | 844 | 159.8 |
C | 14 | 238 | 135026 | 691.46 | 843 | 852 | 194.0 |
C | 3 | 233 | 132445 | 678.15 | 843 | 852 | 194.0 |
C | 8 | 208 | 16632 | 81.32 | 843 | 852 | 194.0 |
D | 1 | 52 | 994006 | 5007.09 | 851 | 833 | 198.4 |
D | 2 | 250 | 64828 | 322.63 | 851 | 833 | 198.4 |
D | 2 | 234 | 28670 | 140.34 | 851 | 833 | 198.4 |
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 |  |