Observation information
- date-obs: 2024-05-10
- time-obs: 08:58:31.898400000
- date-end: 2024-05-10
- time-end: 10:02:48.895800000
- obs_id: A13_092T03_9000006234
- exposure: 3695.57343954
- sourceid: Gal_40_41
- observer: Smitha
- ra_pnt: 126.5233
- dec_pnt: 35.59047
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_092T03_9000006234_46595cztM0_level2.fits
| modeM0/AS1A13_092T03_9000006234_46595cztM0_level2_quad_clean.evt
|
Size (bytes) | 280,045,440 | 60,327,360 |
Size | 267.1 MB
| 57.5 MB
|
Events in quadrant A | 3,802,308 | 397,618 |
Events in quadrant B | 1,873,540 | 411,911 |
Events in quadrant C | 1,678,142 | 392,561 |
Events in quadrant D | 2,711,675 | 351,933 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 14209 | 0 |
B | 0 | 8120 | 0 |
C | 0 | 7881 | 3 |
D | 0 | 10626 | 5 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 78 | 0 |
B | 0 | 78 | 0 |
C | 0 | 78 | 0 |
D | 0 | 78 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3857 | 66 | 1.711174% |
B | 3857 | 30 | 0.777807% |
C | 3856 | 12 | 0.311203% |
D | 3857 | 151 | 3.914960% |
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 | 3857 | 3857 | 45 | 45 | 1.17% | 1.17% | |
B | 3857 | 3857 | 17 | 17 | 0.44% | 0.44% | |
C | 3858 | 3857 | 10 | 10 | 0.26% | 0.26% | |
D | 3858 | 3858 | 138 | 138 | 3.58% | 3.58% | |
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 | 10 | 83 | 1940581 | 22633.31 | 407 | 400 | 85.7 |
A | 13 | 248 | 154128 | 1793.32 | 407 | 400 | 85.7 |
A | 9 | 191 | 88207 | 1024.32 | 407 | 400 | 85.7 |
B | 15 | 201 | 80897 | 981.47 | 407 | 395 | 82.0 |
B | 2 | 2 | 49385 | 597.28 | 407 | 395 | 82.0 |
B | 3 | 112 | 25577 | 307.01 | 407 | 395 | 82.0 |
C | 14 | 254 | 49166 | 503.94 | 401 | 403 | 96.8 |
C | 15 | 208 | 22666 | 230.08 | 401 | 403 | 96.8 |
C | 3 | 233 | 17899 | 180.81 | 401 | 403 | 96.8 |
D | 1 | 52 | 379634 | 3766.71 | 396 | 383 | 100.7 |
D | 12 | 233 | 197400 | 1956.77 | 396 | 383 | 100.7 |
D | 2 | 120 | 131398 | 1301.24 | 396 | 383 | 100.7 |
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 |
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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 | |