Observation information
- date-obs: 2024-03-10
- time-obs: 21:06:08.151600000
- date-end: 2024-03-10
- time-end: 22:10:54.148500000
- obs_id: A13_028T01_9000006122
- exposure: 3706.41606337
- sourceid: GX 339-4
- observer: yashbhargava
- ra_pnt: 255.7058
- dec_pnt: -48.78974
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_028T01_9000006122_45703cztM0_level2.fits
| modeM0/AS1A13_028T01_9000006122_45703cztM0_level2_quad_clean.evt
|
Size (bytes) | 243,478,080 | 61,079,040 |
Size | 232.2 MB
| 58.2 MB
|
Events in quadrant A | 3,124,572 | 405,240 |
Events in quadrant B | 1,791,212 | 416,999 |
Events in quadrant C | 1,690,531 | 397,656 |
Events in quadrant D | 2,108,317 | 359,958 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 76 | 0 |
B | 0 | 76 | 2 |
C | 0 | 76 | 0 |
D | 0 | 76 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 12245 | 216 |
B | 0 | 8213 | 93 |
C | 0 | 8092 | 97 |
D | 0 | 9028 | 138 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3801 | 38 | 0.999737% |
B | 3830 | 21 | 0.548303% |
C | 3827 | 13 | 0.339692% |
D | 3804 | 51 | 1.340694% |
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 | 3887 | 3867 | 2 | 2 | 0.05% | 0.05% |  |
B | 3887 | 3872 | 12 | 12 | 0.31% | 0.31% |  |
C | 3887 | 3876 | 6 | 6 | 0.15% | 0.15% |  |
D | 3887 | 3869 | 47 | 47 | 1.21% | 1.21% |  |
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 | 1527655 | 17780.85 | 404 | 396 | 85.9 |
A | 13 | 248 | 24629 | 282.13 | 404 | 396 | 85.9 |
A | 13 | 254 | 7007 | 76.97 | 404 | 396 | 85.9 |
B | 5 | 172 | 60522 | 735.33 | 411 | 398 | 81.8 |
B | 3 | 112 | 49311 | 598.22 | 411 | 398 | 81.8 |
B | 12 | 18 | 10394 | 122.25 | 411 | 398 | 81.8 |
C | 3 | 233 | 52424 | 541.48 | 402 | 405 | 96.1 |
C | 14 | 254 | 42407 | 437.21 | 402 | 405 | 96.1 |
C | 11 | 16 | 12409 | 124.95 | 402 | 405 | 96.1 |
D | 1 | 52 | 211812 | 2112.0 | 392 | 379 | 100.1 |
D | 13 | 249 | 98193 | 977.06 | 392 | 379 | 100.1 |
D | 12 | 1 | 78740 | 782.75 | 392 | 379 | 100.1 |
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 |  |