Observation information
- date-obs: 2015-11-20
- time-obs: 05-17-53.000003472
- date-end: 2015-11-20
- time-end: 08-46-01.000003383
- obs_id: T01_001T01_9000000110
- exposure: 12345.5542642
- sourceid: 1ES 1959+650
- observer: annapurni
- ra_pnt: 299.9994
- dec_pnt: 65.1485
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1T01_001T01_9000000110cztM0_level2.evt
| modeM0/AS1T01_001T01_9000000110cztM0_level2_quad_clean.evt
|
Size (bytes) | 1,832,476,672 | 183,614,400 |
Size | 1.7 GB
| 175.1 MB
|
Events in quadrant A | 15,535,938 | 1,188,121 |
Events in quadrant B | 15,909,015 | 1,196,322 |
Events in quadrant C | 14,704,063 | 1,174,976 |
Events in quadrant D | 14,346,266 | 1,142,708 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 54959 | 0 |
B | 0 | 56062 | 0 |
C | 0 | 52495 | 0 |
D | 0 | 51455 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 250 | 0 |
B | 0 | 250 | 0 |
C | 0 | 250 | 0 |
D | 0 | 250 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 12424 | 188 | 1.513200% |
B | 12424 | 141 | 1.134900% |
C | 12424 | 55 | 0.442692% |
D | 12424 | 138 | 1.110753% |
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 | 12489 | 12426 | 848 | 848 | 6.79% | 6.82% |  |
B | 12488 | 12425 | 840 | 840 | 6.73% | 6.76% |  |
C | 12489 | 12426 | 506 | 506 | 4.05% | 4.07% |  |
D | 12489 | 12426 | 589 | 589 | 4.72% | 4.74% |  |
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 | 8 | 192 | 256556 | 263.12 | 3956 | 3982 | 959.9 |
A | 12 | 236 | 43811 | 41.49 | 3956 | 3982 | 959.9 |
A | 10 | 133 | 39622 | 37.13 | 3956 | 3982 | 959.9 |
B | 15 | 22 | 96824 | 95.86 | 4087 | 4100 | 967.3 |
B | 0 | 23 | 79172 | 77.61 | 4087 | 4100 | 967.3 |
B | 8 | 234 | 64230 | 62.16 | 4087 | 4100 | 967.3 |
C | 9 | 83 | 103570 | 96.69 | 3688 | 3816 | 1031.7 |
C | 15 | 241 | 78852 | 72.73 | 3688 | 3816 | 1031.7 |
C | 3 | 111 | 68510 | 62.71 | 3688 | 3816 | 1031.7 |
D | 1 | 4 | 544247 | 476.86 | 3611 | 3741 | 1133.5 |
D | 13 | 25 | 190380 | 164.66 | 3611 | 3741 | 1133.5 |
D | 9 | 41 | 26771 | 20.32 | 3611 | 3741 | 1133.5 |
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 |  |