Observation information
- date-obs: 2016-09-30
- time-obs: 22:59:56.755600000
- date-end: 2016-09-30
- time-end: 23:55:00.755300000
- obs_id: T01_137T01_9000000694
- exposure: 1257.01440352
- sourceid: ASASSN-16jt
- observer: annapurni
- ra_pnt: 334.9559
- dec_pnt: -40.66796
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1T01_137T01_9000000694cztM0_level2_bc.evt
| modeM0/AS1T01_137T01_9000000694cztM0_level2_quad_clean.evt
|
Size (bytes) | 120,467,520 | 23,713,920 |
Size | 114.9 MB
| 22.6 MB
|
Events in quadrant A | 574,543 | 127,011 |
Events in quadrant B | 717,181 | 125,876 |
Events in quadrant C | 780,703 | 121,281 |
Events in quadrant D | 1,347,972 | 114,123 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 6514 | 0 |
B | 0 | 6781 | 0 |
C | 0 | 7316 | 0 |
D | 0 | 8760 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 68 | 0 |
B | 0 | 68 | 0 |
C | 0 | 66 | 0 |
D | 0 | 66 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3238 | 1 | 0.030883% |
B | 3224 | 15 | 0.465261% |
C | 3212 | 118 | 3.673724% |
D | 3195 | 75 | 2.347418% |
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 | 3305 | 3299 | 1 | 1 | 0.03% | 0.03% |  |
B | 3305 | 3295 | 3 | 3 | 0.09% | 0.09% |  |
C | 3305 | 3294 | 43 | 43 | 1.30% | 1.31% |  |
D | 3305 | 3285 | 19 | 19 | 0.57% | 0.58% |  |
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 | 50 | 10791 | 306.21 | 144 | 140 | 34.8 |
A | 0 | 247 | 4240 | 117.87 | 144 | 140 | 34.8 |
A | 15 | 174 | 2322 | 62.73 | 144 | 140 | 34.8 |
B | 15 | 204 | 80570 | 2639.38 | 144 | 140 | 30.5 |
B | 4 | 48 | 32740 | 1069.8 | 144 | 140 | 30.5 |
B | 11 | 51 | 18491 | 602.2 | 144 | 140 | 30.5 |
C | 1 | 241 | 241123 | 7478.72 | 136 | 133 | 32.2 |
C | 14 | 67 | 3034 | 90.03 | 136 | 133 | 32.2 |
C | 9 | 247 | 1821 | 52.38 | 136 | 133 | 32.2 |
D | 2 | 33 | 522292 | 14840.05 | 138 | 131 | 35.2 |
D | 11 | 192 | 95066 | 2698.1 | 138 | 131 | 35.2 |
D | 8 | 195 | 73891 | 2096.29 | 138 | 131 | 35.2 |
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 |  |