Observation information
- date-obs: 2024-01-21
- time-obs: 11:15:27.755200000
- date-end: 2024-01-21
- time-end: 12:18:11.755300000
- obs_id: A13_017T02_9000006032
- exposure: 3559.9404766
- sourceid: PG 1553+113
- observer: susmitad
- ra_pnt: 238.9362
- dec_pnt: 11.19472
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_017T02_9000006032_44966cztM0_level2.fits
| modeM0/AS1A13_017T02_9000006032_44966cztM0_level2_quad_clean.evt
|
Size (bytes) | 295,338,240 | 65,911,680 |
Size | 281.7 MB
| 62.9 MB
|
Events in quadrant A | 3,021,304 | 449,329 |
Events in quadrant B | 2,253,467 | 456,102 |
Events in quadrant C | 1,915,836 | 439,496 |
Events in quadrant D | 3,448,683 | 384,831 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 76 | 0 |
B | 0 | 76 | 0 |
C | 0 | 76 | 0 |
D | 0 | 76 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 11420 | 0 |
B | 0 | 9035 | 0 |
C | 0 | 8066 | 0 |
D | 0 | 12857 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3764 | 4 | 0.106270% |
B | 3764 | 50 | 1.328374% |
C | 3764 | 13 | 0.345377% |
D | 3765 | 226 | 6.002656% |
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 | 3764 | 3764 | 1 | 1 | 0.03% | 0.03% |  |
B | 3764 | 3764 | 30 | 30 | 0.80% | 0.80% |  |
C | 3764 | 3764 | 15 | 15 | 0.40% | 0.40% |  |
D | 3765 | 3765 | 192 | 192 | 5.10% | 5.10% |  |
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 | 1282415 | 13814.94 | 445 | 436 | 92.8 |
A | 0 | 243 | 6726 | 67.78 | 445 | 436 | 92.8 |
A | 3 | 137 | 4672 | 45.65 | 445 | 436 | 92.8 |
B | 0 | 168 | 110647 | 1292.03 | 438 | 425 | 85.3 |
B | 4 | 171 | 99322 | 1159.28 | 438 | 425 | 85.3 |
B | 3 | 112 | 81036 | 944.93 | 438 | 425 | 85.3 |
C | 12 | 250 | 75097 | 722.22 | 436 | 441 | 103.4 |
C | 14 | 254 | 64110 | 615.93 | 436 | 441 | 103.4 |
C | 12 | 2 | 27771 | 264.39 | 436 | 441 | 103.4 |
D | 12 | 33 | 321068 | 2957.6 | 429 | 417 | 108.4 |
D | 13 | 174 | 300888 | 2771.47 | 429 | 417 | 108.4 |
D | 12 | 233 | 224626 | 2068.05 | 429 | 417 | 108.4 |
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 |  |