Observation information
- date-obs: 2023-08-02
- time-obs: 11:31:37.640900000
- date-end: 2023-08-02
- time-end: 12:13:24.641000000
- obs_id: T05_138T01_9000005802
- exposure: 2288.32403582
- sourceid: V1716 Sco
- observer: GeraltRiv7145
- ra_pnt: 260.6871
- dec_pnt: -41.62111
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1T05_138T01_9000005802_42419cztM0_level2.fits
| modeM0/AS1T05_138T01_9000005802_42419cztM0_level2_quad_clean.evt
|
Size (bytes) | 169,064,640 | 44,884,800 |
Size | 161.2 MB
| 42.8 MB
|
Events in quadrant A | 1,369,256 | 305,781 |
Events in quadrant B | 1,195,255 | 313,223 |
Events in quadrant C | 1,213,134 | 301,686 |
Events in quadrant D | 2,283,222 | 258,718 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 5471 | 0 |
B | 0 | 5265 | 0 |
C | 0 | 5213 | 0 |
D | 0 | 8466 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 50 | 0 |
B | 0 | 50 | 0 |
C | 0 | 50 | 0 |
D | 0 | 50 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 2507 | 14 | 0.558436% |
B | 2507 | 2 | 0.079777% |
C | 2508 | 8 | 0.318979% |
D | 2508 | 235 | 9.370016% |
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 | 2507 | 2507 | 8 | 8 | 0.32% | 0.32% |  |
B | 2507 | 2507 | 0 | 0 | 0.00% | 0.00% |  |
C | 2508 | 2508 | 8 | 8 | 0.32% | 0.32% |  |
D | 2508 | 2508 | 240 | 240 | 9.57% | 9.57% |  |
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 | 198986 | 3325.91 | 285 | 281 | 59.7 |
A | 7 | 3 | 47049 | 782.8 | 285 | 281 | 59.7 |
A | 13 | 6 | 10518 | 171.35 | 285 | 281 | 59.7 |
B | 15 | 36 | 26542 | 483.87 | 280 | 274 | 54.3 |
B | 0 | 245 | 25332 | 461.58 | 280 | 274 | 54.3 |
B | 5 | 255 | 22167 | 403.28 | 280 | 274 | 54.3 |
C | 15 | 214 | 99930 | 1556.93 | 271 | 273 | 64.0 |
C | 3 | 110 | 41758 | 648.12 | 271 | 273 | 64.0 |
C | 14 | 254 | 4973 | 73.43 | 271 | 273 | 64.0 |
D | 12 | 33 | 368024 | 5568.52 | 268 | 261 | 66.0 |
D | 2 | 16 | 366222 | 5541.24 | 268 | 261 | 66.0 |
D | 12 | 233 | 232408 | 3515.08 | 268 | 261 | 66.0 |
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 |  |