Observation information
- date-obs: 2020-11-06
- time-obs: 07:36:30.984000000
- date-end: 2020-11-06
- time-end: 09:49:58.986400000
- obs_id: T03_257T01_9000003976
- exposure: 4232.91169795
- 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_27623cztM0_level2.evt
| modeM0/AS1T03_257T01_9000003976_27623cztM0_level2_quad_clean.evt
|
| Size (bytes) | 632,583,360 | 87,433,920 |
| Size | 603.3 MB
| 83.4 MB
|
| Events in quadrant A | 3,845,014 | 536,107 |
| Events in quadrant B | 6,519,197 | 529,154 |
| Events in quadrant C | 3,907,676 | 519,503 |
| Events in quadrant D | 4,343,357 | 507,125 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 16651 | 0 |
| B | 0 | 24584 | 0 |
| C | 0 | 16697 | 0 |
| D | 0 | 18382 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 7993 | 286 | 3.578131% |
| B | 7994 | 1320 | 16.512384% |
| C | 7994 | 302 | 3.777833% |
| D | 7994 | 197 | 2.464348% |
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 | 8008 | 7994 | 2 | 2 | 0.02% | 0.03% |  |
| B | 8009 | 7994 | 667 | 667 | 8.33% | 8.34% |  |
| C | 8009 | 7995 | 0 | 0 | 0.00% | 0.00% |  |
| D | 8009 | 7994 | 20 | 20 | 0.25% | 0.25% |  |
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 | 12 | 96 | 17284 | 80.91 | 990 | 967 | 201.7 |
| A | 13 | 254 | 12522 | 57.3 | 990 | 967 | 201.7 |
| A | 3 | 137 | 10025 | 44.91 | 990 | 967 | 201.7 |
| B | 3 | 64 | 2083590 | 11649.15 | 926 | 900 | 178.8 |
| B | 10 | 245 | 704936 | 3937.9 | 926 | 900 | 178.8 |
| B | 15 | 222 | 36923 | 201.49 | 926 | 900 | 178.8 |
| C | 14 | 238 | 153279 | 680.22 | 951 | 955 | 223.9 |
| C | 2 | 16 | 20405 | 86.86 | 951 | 955 | 223.9 |
| C | 10 | 22 | 14821 | 61.92 | 951 | 955 | 223.9 |
| D | 1 | 52 | 446791 | 1936.7 | 958 | 929 | 230.2 |
| D | 7 | 80 | 184206 | 796.11 | 958 | 929 | 230.2 |
| D | 2 | 250 | 55281 | 236.09 | 958 | 929 | 230.2 |
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 |  |