Observation information
- date-obs: 2020-10-19
- time-obs: 13:11:09.379500000
- date-end: 2020-10-19
- time-end: 14:24:23.379000000
- obs_id: A09_038T14_9000003930
- exposure: 4359.68287013
- sourceid: SMC-14
- observer: dthilker
- ra_pnt: 14.46119
- dec_pnt: -71.81712
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1A09_038T14_9000003930_27360cztM0_level2.evt
| modeM0/AS1A09_038T14_9000003930_27360cztM0_level2_quad_clean.evt
|
| Size (bytes) | 314,136,000 | 89,700,480 |
| Size | 299.6 MB
| 85.5 MB
|
| Events in quadrant A | 2,055,406 | 616,776 |
| Events in quadrant B | 2,125,948 | 621,257 |
| Events in quadrant C | 2,516,150 | 581,503 |
| Events in quadrant D | 2,516,391 | 587,831 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 8901 | 0 |
| B | 0 | 9055 | 0 |
| C | 0 | 10319 | 0 |
| D | 0 | 10325 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 4394 | 4 | 0.091033% |
| B | 4395 | 10 | 0.227531% |
| C | 4395 | 149 | 3.390216% |
| D | 4395 | 15 | 0.341297% |
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 | 4394 | 4394 | 3 | 3 | 0.07% | 0.07% |  |
| B | 4395 | 4395 | 4 | 4 | 0.09% | 0.09% |  |
| C | 4395 | 4395 | 83 | 83 | 1.89% | 1.89% |  |
| D | 4395 | 4395 | 17 | 17 | 0.39% | 0.39% |  |
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 | 6 | 16 | 24055 | 224.51 | 526 | 517 | 104.8 |
| A | 13 | 254 | 7696 | 68.47 | 526 | 517 | 104.8 |
| A | 3 | 137 | 4542 | 38.39 | 526 | 517 | 104.8 |
| B | 0 | 190 | 25850 | 259.17 | 524 | 511 | 97.8 |
| B | 10 | 245 | 17841 | 177.25 | 524 | 511 | 97.8 |
| B | 15 | 32 | 14370 | 141.75 | 524 | 511 | 97.8 |
| C | 2 | 16 | 500650 | 4358.37 | 494 | 498 | 114.8 |
| C | 14 | 238 | 81137 | 702.7 | 494 | 498 | 114.8 |
| C | 7 | 247 | 4334 | 33.43 | 494 | 498 | 114.8 |
| D | 10 | 0 | 327229 | 2699.43 | 503 | 492 | 121.0 |
| D | 1 | 52 | 176201 | 1451.67 | 503 | 492 | 121.0 |
| D | 2 | 250 | 65411 | 536.35 | 503 | 492 | 121.0 |
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 |  |