Observation information
- date-obs: 2024-06-15
- time-obs: 15:53:27.341500000
- date-end: 2024-06-15
- time-end: 18:04:37.338100000
- obs_id: C09_003T01_9000006298
- exposure: 6850.17966282
- sourceid: Cas A
- observer: chandrasunil
- ra_pnt: 350.85
- dec_pnt: 58.815
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1C09_003T01_9000006298_47133cztM0_level2.fits
| modeM0/AS1C09_003T01_9000006298_47133cztM0_level2_quad_clean.evt
|
Size (bytes) | 626,353,920 | 121,991,040 |
Size | 597.3 MB
| 116.3 MB
|
Events in quadrant A | 7,758,071 | 835,383 |
Events in quadrant B | 3,991,913 | 847,583 |
Events in quadrant C | 3,864,219 | 801,834 |
Events in quadrant D | 6,961,453 | 661,240 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 28692 | 0 |
B | 0 | 17137 | 0 |
C | 0 | 17323 | 0 |
D | 0 | 26275 | 7 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 158 | 0 |
B | 0 | 158 | 0 |
C | 0 | 158 | 0 |
D | 0 | 158 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 7870 | 278 | 3.532402% |
B | 7871 | 192 | 2.439334% |
C | 7871 | 146 | 1.854910% |
D | 7870 | 1123 | 14.269377% |
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 | 7870 | 7870 | 1 | 1 | 0.01% | 0.01% | |
B | 7871 | 7871 | 60 | 60 | 0.76% | 0.76% | |
C | 7871 | 7871 | 74 | 74 | 0.94% | 0.94% | |
D | 7870 | 7870 | 845 | 845 | 10.74% | 10.74% | |
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 | 4255387 | 23222.34 | 887 | 867 | 183.2 |
A | 10 | 255 | 22023 | 115.48 | 887 | 867 | 183.2 |
A | 13 | 254 | 13170 | 67.15 | 887 | 867 | 183.2 |
B | 5 | 32 | 213957 | 1242.55 | 877 | 850 | 171.5 |
B | 0 | 200 | 47685 | 273.08 | 877 | 850 | 171.5 |
B | 4 | 171 | 46655 | 267.07 | 877 | 850 | 171.5 |
C | 14 | 254 | 491944 | 2452.72 | 858 | 862 | 200.2 |
C | 1 | 3 | 8236 | 36.83 | 858 | 862 | 200.2 |
C | 14 | 67 | 7720 | 34.25 | 858 | 862 | 200.2 |
D | 12 | 3 | 1951433 | 9393.66 | 823 | 795 | 207.7 |
D | 2 | 249 | 970201 | 4668.35 | 823 | 795 | 207.7 |
D | 8 | 48 | 155190 | 743.52 | 823 | 795 | 207.7 |
Detector plane histogram (DPH)
Histogram calculated using DETX and DETY for each event in the final _common_clean file
Quadrant A |
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Quadrant B |
Quadrant D |
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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 |
|
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Module-wise count rates for Quadrant A
Data is divided into 100 sec bins |
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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 |
|
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Module-wise count rates for Quadrant D
Data is divided into 100 sec bins |
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|
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 | |