Observation information
- date-obs: 2020-08-12
- time-obs: 14:56:46.645400000
- date-end: 2020-08-12
- time-end: 15:29:56.644500000
- obs_id: A09_143T05_9000003804
- exposure: 1955.15462655
- sourceid: T05
- observer: suraj
- ra_pnt: 238.8184
- dec_pnt: 35.72351
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1A09_143T05_9000003804_26354cztM0_level2.evt
| modeM0/AS1A09_143T05_9000003804_26354cztM0_level2_quad_clean.evt
|
| Size (bytes) | 194,181,120 | 37,848,960 |
| Size | 185.2 MB
| 36.1 MB
|
| Events in quadrant A | 982,355 | 261,364 |
| Events in quadrant B | 1,220,004 | 259,110 |
| Events in quadrant C | 1,660,976 | 240,453 |
| Events in quadrant D | 1,880,250 | 240,089 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 4232 | 0 |
| B | 0 | 4994 | 0 |
| C | 0 | 6316 | 0 |
| D | 0 | 6964 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 1990 | 10 | 0.502513% |
| B | 1991 | 82 | 4.118533% |
| C | 1991 | 153 | 7.684581% |
| D | 1991 | 117 | 5.876444% |
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 | 1990 | 1990 | 9 | 9 | 0.45% | 0.45% |  |
| B | 1991 | 1991 | 60 | 60 | 3.01% | 3.01% |  |
| C | 1991 | 1991 | 76 | 76 | 3.82% | 3.82% |  |
| D | 1991 | 1991 | 104 | 104 | 5.22% | 5.22% |  |
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 | 87983 | 1848.69 | 228 | 224 | 47.5 |
| A | 6 | 16 | 13531 | 280.32 | 228 | 224 | 47.5 |
| A | 13 | 254 | 3423 | 67.39 | 228 | 224 | 47.5 |
| B | 5 | 172 | 340571 | 7639.76 | 225 | 220 | 44.5 |
| B | 12 | 111 | 4736 | 101.37 | 225 | 220 | 44.5 |
| B | 11 | 111 | 3958 | 83.91 | 225 | 220 | 44.5 |
| C | 3 | 233 | 673245 | 12925.73 | 216 | 218 | 52.1 |
| C | 0 | 239 | 97739 | 1872.93 | 216 | 218 | 52.1 |
| C | 14 | 238 | 33959 | 648.01 | 216 | 218 | 52.1 |
| D | 1 | 52 | 1010542 | 18563.43 | 222 | 217 | 54.4 |
| D | 8 | 195 | 12269 | 221.44 | 222 | 217 | 54.4 |
| D | 2 | 234 | 9180 | 164.68 | 222 | 217 | 54.4 |
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 |  |