Observation information
- date-obs: 2020-11-10
- time-obs: 08:03:31.284600000
- date-end: 2020-11-10
- time-end: 08:35:50.028900000
- obs_id: T03_257T01_9000003976
- exposure: 1891.27620882
- sourceid: Akn564
- observer: gulabd
- ra_pnt: 340.7267
- dec_pnt: 29.71232
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1T03_257T01_9000003976_27685cztM0_level2.evt
| modeM0/AS1T03_257T01_9000003976_27685cztM0_level2_quad_clean.evt
|
| Size (bytes) | 206,150,400 | 34,692,480 |
| Size | 196.6 MB
| 33.1 MB
|
| Events in quadrant A | 845,863 | 240,016 |
| Events in quadrant B | 927,060 | 242,771 |
| Events in quadrant C | 1,005,106 | 230,942 |
| Events in quadrant D | 3,331,579 | 195,053 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 3880 | 0 |
| B | 0 | 4086 | 0 |
| C | 0 | 4209 | 0 |
| D | 0 | 11246 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 1939 | 1 | 0.051573% |
| B | 1940 | 10 | 0.515464% |
| C | 1940 | 9 | 0.463918% |
| D | 1940 | 549 | 28.298969% |
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 | 1939 | 1939 | 0 | 0 | 0.00% | 0.00% |  |
| B | 1940 | 1940 | 5 | 5 | 0.26% | 0.26% |  |
| C | 1940 | 1940 | 4 | 4 | 0.21% | 0.21% |  |
| D | 1940 | 1940 | 637 | 637 | 32.84% | 32.84% |  |
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 | 13 | 254 | 3467 | 70.49 | 219 | 214 | 46.2 |
| A | 3 | 137 | 2051 | 39.8 | 219 | 214 | 46.2 |
| A | 0 | 226 | 1852 | 35.49 | 219 | 214 | 46.2 |
| B | 15 | 32 | 31821 | 730.12 | 216 | 210 | 43.3 |
| B | 0 | 230 | 28009 | 642.07 | 216 | 210 | 43.3 |
| B | 0 | 190 | 11042 | 250.19 | 216 | 210 | 43.3 |
| C | 3 | 233 | 136958 | 2709.26 | 207 | 207 | 50.5 |
| C | 14 | 238 | 33276 | 655.15 | 207 | 207 | 50.5 |
| C | 8 | 208 | 23870 | 468.8 | 207 | 207 | 50.5 |
| D | 12 | 2 | 1711438 | 36396.97 | 193 | 186 | 47.0 |
| D | 1 | 52 | 835719 | 17771.12 | 193 | 186 | 47.0 |
| D | 2 | 250 | 25221 | 532.47 | 193 | 186 | 47.0 |
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 |  |