Observation information
- date-obs: 2020-08-08
- time-obs: 11:39:27.895700000
- date-end: 2020-08-08
- time-end: 12:02:07.897000000
- obs_id: A09_044T01_9000003792
- exposure: 1345.90719576
- sourceid: 4U 1705-44
- observer: jitheshthejus
- ra_pnt: 257.227
- dec_pnt: -44.10204
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1A09_044T01_9000003792_26294cztM0_level2.evt
| modeM0/AS1A09_044T01_9000003792_26294cztM0_level2_quad_clean.evt
|
| Size (bytes) | 98,853,120 | 26,087,040 |
| Size | 94.3 MB
| 24.9 MB
|
| Events in quadrant A | 689,611 | 172,728 |
| Events in quadrant B | 650,545 | 178,162 |
| Events in quadrant C | 730,495 | 171,829 |
| Events in quadrant D | 827,506 | 164,980 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 2845 | 0 |
| B | 0 | 2736 | 0 |
| C | 0 | 2977 | 0 |
| D | 0 | 3290 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 1360 | 4 | 0.294118% |
| B | 1361 | 1 | 0.073475% |
| C | 1361 | 7 | 0.514328% |
| D | 1361 | 50 | 3.673769% |
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 | 1360 | 1360 | 1 | 1 | 0.07% | 0.07% |  |
| B | 1361 | 1361 | 0 | 0 | 0.00% | 0.00% |  |
| C | 1361 | 1361 | 1 | 1 | 0.07% | 0.07% |  |
| D | 1361 | 1361 | 49 | 49 | 3.60% | 3.60% |  |
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 | 38739 | 1077.06 | 168 | 164 | 35.8 |
| A | 13 | 254 | 2244 | 58.08 | 168 | 164 | 35.8 |
| A | 3 | 137 | 1563 | 39.06 | 168 | 164 | 35.8 |
| B | 12 | 111 | 3747 | 105.81 | 165 | 160 | 33.9 |
| B | 11 | 111 | 3604 | 101.59 | 165 | 160 | 33.9 |
| B | 14 | 111 | 3252 | 91.21 | 165 | 160 | 33.9 |
| C | 3 | 233 | 49127 | 1246.72 | 160 | 161 | 39.3 |
| C | 4 | 254 | 26964 | 682.43 | 160 | 161 | 39.3 |
| C | 14 | 238 | 25375 | 641.97 | 160 | 161 | 39.3 |
| D | 12 | 233 | 134788 | 3365.2 | 161 | 157 | 40.0 |
| D | 11 | 176 | 32666 | 812.59 | 161 | 157 | 40.0 |
| D | 1 | 52 | 24724 | 614.07 | 161 | 157 | 40.0 |
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 |  |