Observation information
- date-obs: 2020-11-15
- time-obs: 18:05:34.201100000
- date-end: 2020-11-15
- time-end: 18:28:56.201400000
- obs_id: A10_002T05_9000004000
- exposure: 1367.41615826
- sourceid: M31 Field No. 2
- observer: dleahy
- ra_pnt: 11.037
- dec_pnt: 41.55735
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1A10_002T05_9000004000_27763cztM0_level2.evt
| modeM0/AS1A10_002T05_9000004000_27763cztM0_level2_quad_clean.evt
|
| Size (bytes) | 139,826,880 | 35,199,360 |
| Size | 133.3 MB
| 33.6 MB
|
| Events in quadrant A | 828,942 | 252,577 |
| Events in quadrant B | 1,191,715 | 245,835 |
| Events in quadrant C | 907,193 | 241,061 |
| Events in quadrant D | 1,209,141 | 221,636 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 3380 | 0 |
| B | 0 | 4539 | 0 |
| C | 0 | 3689 | 0 |
| D | 0 | 4486 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 1402 | 4 | 0.285307% |
| B | 1403 | 90 | 6.414825% |
| C | 1403 | 26 | 1.853172% |
| D | 1403 | 161 | 11.475410% |
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 | 1402 | 1402 | 0 | 0 | 0.00% | 0.00% |  |
| B | 1403 | 1403 | 55 | 55 | 3.92% | 3.92% |  |
| C | 1403 | 1403 | 0 | 0 | 0.00% | 0.00% |  |
| D | 1403 | 1403 | 132 | 132 | 9.41% | 9.41% |  |
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 | 2468 | 51.62 | 214 | 211 | 43.7 |
| A | 0 | 226 | 1994 | 40.78 | 214 | 211 | 43.7 |
| A | 3 | 137 | 1702 | 34.1 | 214 | 211 | 43.7 |
| B | 3 | 64 | 382218 | 9830.42 | 204 | 199 | 38.9 |
| B | 4 | 52 | 5185 | 128.3 | 204 | 199 | 38.9 |
| B | 12 | 111 | 4034 | 98.69 | 204 | 199 | 38.9 |
| C | 3 | 233 | 70972 | 1448.99 | 205 | 206 | 48.8 |
| C | 14 | 238 | 33603 | 683.83 | 205 | 206 | 48.8 |
| C | 12 | 249 | 2044 | 37.63 | 205 | 206 | 48.8 |
| D | 1 | 52 | 433980 | 9211.2 | 196 | 191 | 47.1 |
| D | 2 | 250 | 16114 | 338.11 | 196 | 191 | 47.1 |
| D | 2 | 234 | 6305 | 129.83 | 196 | 191 | 47.1 |
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 |  |