Observation information
- date-obs: 2023-12-02
- time-obs: 04:06:18.611100000
- date-end: 2023-12-02
- time-end: 05:18:27.611400000
- obs_id: A13_071T06_9000005972
- exposure: 1585.5799914
- sourceid: ngc2419
- observer: annapurni
- ra_pnt: 114.535
- dec_pnt: 38.88244
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_071T06_9000005972_44221cztM0_level2.fits
| modeM0/AS1A13_071T06_9000005972_44221cztM0_level2_quad_clean.evt
|
Size (bytes) | 400,697,280 | 59,060,160 |
Size | 382.1 MB
| 56.3 MB
|
Events in quadrant A | 2,689,053 | 448,231 |
Events in quadrant B | 2,341,131 | 455,705 |
Events in quadrant C | 1,895,560 | 431,106 |
Events in quadrant D | 7,568,516 | 148,633 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 11060 | 0 |
B | 0 | 9926 | 1 |
C | 0 | 9038 | 0 |
D | 0 | 25486 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 86 | 0 |
B | 0 | 86 | 0 |
C | 0 | 86 | 0 |
D | 0 | 86 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 4329 | 11 | 0.254100% |
B | 4328 | 30 | 0.693161% |
C | 4329 | 9 | 0.207900% |
D | 4329 | 2808 | 64.864865% |
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 | 4329 | 4329 | 6 | 6 | 0.14% | 0.14% |  |
B | 4328 | 4328 | 11 | 11 | 0.25% | 0.25% |  |
C | 4329 | 4329 | 10 | 10 | 0.23% | 0.23% |  |
D | 4328 | 4328 | 2154 | 2154 | 49.77% | 49.77% |  |
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 | 825076 | 8568.39 | 457 | 448 | 96.2 |
A | 15 | 223 | 84576 | 874.14 | 457 | 448 | 96.2 |
A | 2 | 79 | 11876 | 118.74 | 457 | 448 | 96.2 |
B | 0 | 200 | 173660 | 1906.4 | 451 | 437 | 90.9 |
B | 5 | 235 | 120184 | 1317.87 | 451 | 437 | 90.9 |
B | 4 | 170 | 80422 | 880.27 | 451 | 437 | 90.9 |
C | 14 | 254 | 94617 | 897.77 | 440 | 441 | 104.9 |
C | 1 | 16 | 35022 | 329.66 | 440 | 441 | 104.9 |
C | 3 | 233 | 19772 | 184.28 | 440 | 441 | 104.9 |
D | 4 | 221 | 5853962 | 87650.76 | 252 | 243 | 66.8 |
D | 13 | 249 | 381665 | 5711.23 | 252 | 243 | 66.8 |
D | 1 | 52 | 199890 | 2989.42 | 252 | 243 | 66.8 |
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 |  |