Observation information
- date-obs: 2024-05-15
- time-obs: 19:42:45.546900000
- date-end: 2024-05-15
- time-end: 19:45:10.546900000
- obs_id: A13_092T16_9000006250
- exposure: 106.034478247
- sourceid: Gal_54
- observer: Smitha
- ra_pnt: 142.2461
- dec_pnt: 28.75792
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_092T16_9000006250_46675cztM0_level2.fits
| modeM0/AS1A13_092T16_9000006250_46675cztM0_level2_quad_clean.evt
|
Size (bytes) | 14,287,680 | 1,336,320 |
Size | 13.6 MB
| 1.3 MB
|
Events in quadrant A | 281,085 | 3,585 |
Events in quadrant B | 69,427 | 6,646 |
Events in quadrant C | 59,378 | 6,454 |
Events in quadrant D | 103,816 | 5,509 |
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 | 932 | 0 |
B | 0 | 309 | 0 |
C | 0 | 294 | 0 |
D | 0 | 420 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 146 | 46 | 31.506849% |
B | 146 | 1 | 0.684932% |
C | 146 | 0 | 0.000000% |
D | 146 | 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 | 146 | 146 | 59 | 59 | 40.41% | 40.41% | |
B | 146 | 146 | 0 | 0 | 0.00% | 0.00% | |
C | 146 | 146 | 0 | 0 | 0.00% | 0.00% | |
D | 146 | 146 | 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 | 15 | 235 | 154494 | 33023.82 | 13 | 13 | 4.7 |
A | 10 | 83 | 69407 | 14834.54 | 13 | 13 | 4.7 |
A | 3 | 7 | 2659 | 565.64 | 13 | 13 | 4.7 |
B | 4 | 171 | 7808 | 1587.98 | 14 | 14 | 4.9 |
B | 5 | 32 | 561 | 111.45 | 14 | 14 | 4.9 |
B | 5 | 172 | 553 | 109.82 | 14 | 14 | 4.9 |
C | 12 | 250 | 1474 | 282.94 | 14 | 14 | 5.2 |
C | 14 | 67 | 123 | 21.12 | 14 | 14 | 5.2 |
C | 13 | 61 | 92 | 15.12 | 14 | 14 | 5.2 |
D | 1 | 52 | 11773 | 2171.22 | 14 | 13 | 5.4 |
D | 12 | 128 | 11437 | 2109.19 | 14 | 13 | 5.4 |
D | 13 | 169 | 9851 | 1816.37 | 14 | 13 | 5.4 |
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 | |