Observation information
- date-obs: 2024-05-16
- time-obs: 05:34:44.525000000
- date-end: 2024-05-16
- time-end: 07:55:45.521200000
- obs_id: A13_092T19_9000006252
- exposure: 7775.12186718
- sourceid: Gal_59
- observer: Smitha
- ra_pnt: 145.0528
- dec_pnt: 29.59147
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_092T19_9000006252_46682cztM0_level2.fits
| modeM0/AS1A13_092T19_9000006252_46682cztM0_level2_quad_clean.evt
|
Size (bytes) | 692,614,080 | 129,418,560 |
Size | 660.5 MB
| 123.4 MB
|
Events in quadrant A | 7,877,926 | 835,144 |
Events in quadrant B | 4,221,269 | 878,906 |
Events in quadrant C | 3,814,595 | 877,128 |
Events in quadrant D | 9,071,165 | 740,818 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 168 | 0 |
B | 0 | 168 | 0 |
C | 0 | 168 | 0 |
D | 0 | 168 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 28859 | 3 |
B | 0 | 18363 | 1 |
C | 0 | 17654 | 1 |
D | 0 | 32889 | 3 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 8445 | 461 | 5.458851% |
B | 8445 | 352 | 4.168147% |
C | 8446 | 89 | 1.053753% |
D | 8445 | 762 | 9.023091% |
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 | 8460 | 8446 | 36 | 36 | 0.43% | 0.43% | |
B | 8460 | 8446 | 13 | 13 | 0.15% | 0.15% | |
C | 8461 | 8447 | 3 | 3 | 0.04% | 0.04% | |
D | 8461 | 8447 | 373 | 373 | 4.41% | 4.42% | |
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 | 3832354 | 18980.44 | 960 | 935 | 201.9 |
A | 13 | 248 | 253452 | 1250.94 | 960 | 935 | 201.9 |
A | 15 | 235 | 45920 | 222.85 | 960 | 935 | 201.9 |
B | 4 | 171 | 160530 | 823.66 | 964 | 931 | 193.8 |
B | 0 | 198 | 59947 | 304.57 | 964 | 931 | 193.8 |
B | 0 | 190 | 56931 | 289.0 | 964 | 931 | 193.8 |
C | 15 | 208 | 36804 | 158.6 | 954 | 956 | 226.0 |
C | 14 | 254 | 35525 | 152.94 | 954 | 956 | 226.0 |
C | 9 | 237 | 8637 | 33.98 | 954 | 956 | 226.0 |
D | 1 | 52 | 4405660 | 18865.87 | 924 | 892 | 233.5 |
D | 13 | 249 | 573848 | 2454.0 | 924 | 892 | 233.5 |
D | 12 | 128 | 130277 | 554.16 | 924 | 892 | 233.5 |
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 |
|
|
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 |
|
|
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 | |