Observation information
- date-obs: 2020-12-05
- time-obs: 08:25:29.202100000
- date-end: 2020-12-05
- time-end: 09:34:21.202200000
- obs_id: A10_045T03_9000004052
- exposure: 2260.92881933
- sourceid: UGC 5791
- observer: sreeja
- ra_pnt: 159.862
- dec_pnt: 47.94711
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1A10_045T03_9000004052_28053cztM0_level2.evt
| modeM0/AS1A10_045T03_9000004052_28053cztM0_level2_quad_clean.evt
|
| Size (bytes) | 356,886,720 | 56,041,920 |
| Size | 340.4 MB
| 53.4 MB
|
| Events in quadrant A | 2,123,669 | 363,965 |
| Events in quadrant B | 2,105,796 | 362,594 |
| Events in quadrant C | 2,432,167 | 341,639 |
| Events in quadrant D | 3,865,764 | 337,459 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 8507 | 0 |
| B | 0 | 8525 | 0 |
| C | 0 | 9740 | 0 |
| D | 0 | 14414 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 4132 | 1 | 0.024201% |
| B | 4133 | 8 | 0.193564% |
| C | 4133 | 32 | 0.774256% |
| D | 4133 | 172 | 4.161626% |
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 | 4132 | 4132 | 0 | 0 | 0.00% | 0.00% |  |
| B | 4133 | 4133 | 5 | 5 | 0.12% | 0.12% |  |
| C | 4133 | 4133 | 4 | 4 | 0.10% | 0.10% |  |
| D | 4133 | 4133 | 177 | 177 | 4.28% | 4.28% |  |
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 | 37044 | 337.06 | 540 | 533 | 108.3 |
| A | 13 | 254 | 7552 | 64.8 | 540 | 533 | 108.3 |
| A | 0 | 226 | 4841 | 39.77 | 540 | 533 | 108.3 |
| B | 15 | 222 | 22338 | 221.31 | 524 | 511 | 98.6 |
| B | 4 | 200 | 13973 | 136.49 | 524 | 511 | 98.6 |
| B | 4 | 52 | 11885 | 115.32 | 524 | 511 | 98.6 |
| C | 3 | 233 | 365062 | 3105.42 | 507 | 511 | 117.4 |
| C | 14 | 238 | 83186 | 704.27 | 507 | 511 | 117.4 |
| C | 15 | 208 | 7598 | 60.37 | 507 | 511 | 117.4 |
| D | 8 | 195 | 1163486 | 9578.8 | 514 | 502 | 121.4 |
| D | 1 | 52 | 339736 | 2794.06 | 514 | 502 | 121.4 |
| D | 12 | 233 | 200631 | 1648.34 | 514 | 502 | 121.4 |
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 |  |