Observation information
- date-obs: 2020-11-10
- time-obs: 14:30:59.340900000
- date-end: 2020-11-10
- time-end: 15:35:50.034200000
- obs_id: A09_038T39_9000003984
- exposure: 3846.89916664
- sourceid: SMC-39
- observer: dthilker
- ra_pnt: 17.54386
- dec_pnt: -72.62202
Basic statistics of files
| Param |
Original file |
Final file |
| Filename | modeM0/AS1A09_038T39_9000003984_27686cztM0_level2.evt
| modeM0/AS1A09_038T39_9000003984_27686cztM0_level2_quad_clean.evt
|
| Size (bytes) | 305,847,360 | 72,881,280 |
| Size | 291.7 MB
| 69.5 MB
|
| Events in quadrant A | 1,772,518 | 501,389 |
| Events in quadrant B | 1,999,804 | 503,299 |
| Events in quadrant C | 1,731,525 | 476,361 |
| Events in quadrant D | 3,493,004 | 451,103 |
Level1 data integrity
| Mode M0 |
| Quadrant | BADHDUFLAG | Total packets | Discarded packets |
|---|
| A | 0 | 8024 | 0 |
| B | 0 | 8639 | 0 |
| C | 0 | 7888 | 0 |
| D | 0 | 13074 | 0 |
Data saturation
| Quadrant | Total seconds | Saturated seconds | Saturation percentage |
|---|
| A | 3891 | 19 | 0.488306% |
| B | 3891 | 51 | 1.310717% |
| C | 3892 | 19 | 0.488181% |
| D | 3892 | 250 | 6.423433% |
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 | 3891 | 3891 | 14 | 14 | 0.36% | 0.36% |  |
| B | 3891 | 3891 | 31 | 31 | 0.80% | 0.80% |  |
| C | 3892 | 3892 | 1 | 1 | 0.03% | 0.03% |  |
| D | 3892 | 3892 | 260 | 260 | 6.68% | 6.68% |  |
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 | 248 | 54151 | 587.48 | 445 | 437 | 91.4 |
| A | 13 | 254 | 7160 | 73.53 | 445 | 437 | 91.4 |
| A | 3 | 137 | 4089 | 39.94 | 445 | 437 | 91.4 |
| B | 5 | 172 | 162184 | 1900.9 | 443 | 433 | 85.1 |
| B | 0 | 230 | 57893 | 675.27 | 443 | 433 | 85.1 |
| B | 0 | 244 | 11916 | 134.95 | 443 | 433 | 85.1 |
| C | 14 | 238 | 68577 | 687.95 | 419 | 422 | 99.1 |
| C | 8 | 208 | 11340 | 110.21 | 419 | 422 | 99.1 |
| C | 15 | 208 | 9131 | 87.91 | 419 | 422 | 99.1 |
| D | 1 | 52 | 1061253 | 10743.94 | 411 | 401 | 98.7 |
| D | 12 | 2 | 625996 | 6335.81 | 411 | 401 | 98.7 |
| D | 2 | 250 | 163194 | 1648.71 | 411 | 401 | 98.7 |
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 |  |