Observation information
- date-obs: 2020-08-09
- time-obs: 05:03:40.879800000
- date-end: 2020-08-09
- time-end: 07:57:22.872700000
- obs_id: A09_143T03_9000003794
- exposure: 3953.94445559
- sourceid: T03
- observer: suraj
- ra_pnt: 45.41492
- dec_pnt: -8.112556
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1A09_143T03_9000003794_26305cztM0_level2.evt
| modeM0/AS1A09_143T03_9000003794_26305cztM0_level2_quad_clean.evt
|
| Size (bytes) | 437,909,760 | 82,229,760 |
| Size | 417.6 MB
| 78.4 MB
|
| Events in quadrant A | 3,127,247 | 502,497 |
| Events in quadrant B | 3,147,649 | 520,086 |
| Events in quadrant C | 3,359,365 | 496,728 |
| Events in quadrant D | 3,160,453 | 491,874 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 13852 | 0 |
| B | 0 | 13837 | 0 |
| C | 0 | 14427 | 0 |
| D | 0 | 14185 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 6875 | 6 | 0.087273% |
| B | 6876 | 4 | 0.058173% |
| C | 6877 | 100 | 1.454122% |
| D | 6877 | 19 | 0.276283% |
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 | 10422 | 6876 | 0 | 0 | 0.00% | 0.00% |  |
| B | 10422 | 6877 | 0 | 0 | 0.00% | 0.00% |  |
| C | 10423 | 6878 | 59 | 59 | 0.57% | 0.86% |  |
| D | 10423 | 6878 | 13 | 13 | 0.12% | 0.19% |  |
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 | 0 | 13 | 33845 | 203.53 | 802 | 787 | 162.4 |
| A | 13 | 254 | 10299 | 58.56 | 802 | 787 | 162.4 |
| A | 3 | 137 | 7323 | 40.24 | 802 | 787 | 162.4 |
| B | 12 | 111 | 18512 | 116.75 | 797 | 778 | 151.9 |
| B | 0 | 230 | 17511 | 110.16 | 797 | 778 | 151.9 |
| B | 11 | 111 | 16887 | 106.05 | 797 | 778 | 151.9 |
| C | 2 | 16 | 194630 | 1067.72 | 770 | 775 | 181.6 |
| C | 14 | 238 | 122961 | 672.98 | 770 | 775 | 181.6 |
| C | 3 | 233 | 41459 | 224.08 | 770 | 775 | 181.6 |
| D | 11 | 176 | 75893 | 401.19 | 785 | 768 | 187.3 |
| D | 1 | 52 | 72972 | 385.59 | 785 | 768 | 187.3 |
| D | 8 | 195 | 32257 | 168.16 | 785 | 768 | 187.3 |
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 |  |