Observation information
- date-obs: 2023-04-15
- time-obs: 04:28:59.948300000
- date-end: 2023-04-15
- time-end: 04:30:17.948300000
- obs_id: A12_095T02_9000005568
- exposure: 74.0911802053
- sourceid: MID-1-153518
- observer: ramyas
- ra_pnt: 122.1962
- dec_pnt: 35.4344
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A12_095T02_9000005568_40798cztM0_level2.fits
| modeM0/AS1A12_095T02_9000005568_40798cztM0_level2_quad_clean.evt
|
Size (bytes) | 4,726,080 | 538,560 |
Size | 4.5 MB
| 525.9 KB
|
Events in quadrant A | 42,598 | 665 |
Events in quadrant B | 36,558 | 612 |
Events in quadrant C | 38,992 | 591 |
Events in quadrant D | 46,700 | 508 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 2 | 0 |
B | 0 | 2 | 0 |
C | 0 | 2 | 0 |
D | 0 | 2 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 169 | 0 |
B | 0 | 159 | 0 |
C | 0 | 159 | 0 |
D | 0 | 186 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 79 | 0 | 0.000000% |
B | 79 | 0 | 0.000000% |
C | 79 | 0 | 0.000000% |
D | 79 | 0 | 0.000000% |
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 | 79 | 79 | 0 | 0 | 0.00% | 0.00% |  |
B | 79 | 79 | 0 | 0 | 0.00% | 0.00% |  |
C | 79 | 79 | 0 | 0 | 0.00% | 0.00% |  |
D | 79 | 79 | 0 | 0 | 0.00% | 0.00% |  |
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 | 10 | 83 | 5440 | 1547.34 | 8 | 8 | 3.5 |
A | 6 | 10 | 1203 | 340.4 | 8 | 8 | 3.5 |
A | 13 | 248 | 1090 | 308.21 | 8 | 8 | 3.5 |
B | 0 | 230 | 348 | 96.4 | 8 | 8 | 3.5 |
B | 15 | 54 | 320 | 88.46 | 8 | 8 | 3.5 |
B | 0 | 190 | 248 | 68.05 | 8 | 8 | 3.5 |
C | 15 | 214 | 3228 | 858.48 | 9 | 9 | 3.7 |
C | 13 | 61 | 74 | 17.33 | 9 | 9 | 3.7 |
C | 3 | 233 | 42 | 8.8 | 9 | 9 | 3.7 |
D | 9 | 64 | 6010 | 1623.39 | 8 | 8 | 3.7 |
D | 2 | 153 | 5913 | 1597.16 | 8 | 8 | 3.7 |
D | 2 | 234 | 388 | 102.78 | 8 | 8 | 3.7 |
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 |  |