Observation information
- date-obs: 2024-05-23
- time-obs: 02:52:43.503200000
- date-end: 2024-05-23
- time-end: 05:05:22.040600000
- obs_id: A13_053T01_9000006266
- exposure: 7640.86305904
- sourceid: Fairall 9
- observer: arijit
- ra_pnt: 20.94074
- dec_pnt: -58.80578
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_053T01_9000006266_46784cztM0_level2.fits
| modeM0/AS1A13_053T01_9000006266_46784cztM0_level2_quad_clean.evt
|
Size (bytes) | 533,643,840 | 125,510,400 |
Size | 508.9 MB
| 119.7 MB
|
Events in quadrant A | 7,229,846 | 833,497 |
Events in quadrant B | 3,805,923 | 858,565 |
Events in quadrant C | 3,390,627 | 817,190 |
Events in quadrant D | 4,709,877 | 738,096 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 158 | 0 |
B | 0 | 158 | 0 |
C | 0 | 158 | 0 |
D | 0 | 158 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 26240 | 0 |
B | 0 | 16762 | 0 |
C | 0 | 16143 | 0 |
D | 0 | 19648 | 3 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 7959 | 182 | 2.286719% |
B | 7960 | 50 | 0.628141% |
C | 7960 | 17 | 0.213568% |
D | 7958 | 272 | 3.417944% |
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 | 7959 | 7959 | 147 | 147 | 1.85% | 1.85% | |
B | 7960 | 7960 | 18 | 18 | 0.23% | 0.23% | |
C | 7960 | 7960 | 8 | 8 | 0.10% | 0.10% | |
D | 7960 | 7959 | 251 | 251 | 3.15% | 3.15% | |
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 | 3448875 | 19514.24 | 849 | 830 | 176.7 |
A | 13 | 248 | 476173 | 2690.21 | 849 | 830 | 176.7 |
A | 13 | 254 | 12167 | 64.16 | 849 | 830 | 176.7 |
B | 3 | 112 | 266532 | 1579.51 | 852 | 825 | 168.2 |
B | 5 | 172 | 53673 | 314.16 | 852 | 825 | 168.2 |
B | 4 | 171 | 45270 | 264.21 | 852 | 825 | 168.2 |
C | 14 | 254 | 46837 | 231.72 | 845 | 847 | 198.5 |
C | 1 | 241 | 18457 | 88.73 | 845 | 847 | 198.5 |
C | 3 | 233 | 13174 | 62.11 | 845 | 847 | 198.5 |
D | 13 | 249 | 636470 | 3052.25 | 834 | 805 | 208.3 |
D | 2 | 37 | 340804 | 1632.56 | 834 | 805 | 208.3 |
D | 1 | 52 | 314741 | 1507.42 | 834 | 805 | 208.3 |
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 | |