Observation information
- date-obs: 2024-08-16
- time-obs: 03:37:53.619800000
- date-end: 2024-08-16
- time-end: 05:41:52.610700000
- obs_id: A13_037T05_9000006392
- exposure: 7202.16521066
- sourceid: GX 349+2
- observer: ranjeev
- ra_pnt: 256.4354
- dec_pnt: -36.42307
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_037T05_9000006392_48045cztM0_level2.fits
| modeM0/AS1A13_037T05_9000006392_48045cztM0_level2_quad_clean.evt
|
Size (bytes) | 526,201,920 | 118,218,240 |
Size | 501.8 MB
| 112.7 MB
|
Events in quadrant A | 7,227,520 | 788,754 |
Events in quadrant B | 3,445,661 | 813,245 |
Events in quadrant C | 3,332,732 | 768,366 |
Events in quadrant D | 4,895,633 | 691,459 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 26785 | 0 |
B | 0 | 15609 | 0 |
C | 0 | 15552 | 0 |
D | 0 | 19964 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 148 | 0 |
B | 0 | 148 | 0 |
C | 0 | 148 | 0 |
D | 0 | 148 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 7439 | 75 | 1.008200% |
B | 7440 | 47 | 0.631720% |
C | 7440 | 18 | 0.241935% |
D | 7440 | 200 | 2.688172% |
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 | 7439 | 7439 | 0 | 0 | 0.00% | 0.00% | |
B | 7440 | 7440 | 7 | 7 | 0.09% | 0.09% | |
C | 7440 | 7440 | 10 | 10 | 0.13% | 0.13% | |
D | 7440 | 7440 | 173 | 173 | 2.33% | 2.33% | |
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 | 4011783 | 23111.2 | 826 | 809 | 173.6 |
A | 7 | 3 | 16378 | 89.71 | 826 | 809 | 173.6 |
A | 13 | 254 | 13617 | 73.8 | 826 | 809 | 173.6 |
B | 5 | 255 | 75072 | 451.03 | 827 | 802 | 164.7 |
B | 7 | 221 | 31502 | 186.43 | 827 | 802 | 164.7 |
B | 0 | 197 | 30107 | 177.96 | 827 | 802 | 164.7 |
C | 12 | 249 | 75434 | 383.06 | 816 | 822 | 194.8 |
C | 12 | 2 | 28990 | 144.62 | 816 | 822 | 194.8 |
C | 5 | 37 | 15894 | 77.38 | 816 | 822 | 194.8 |
D | 2 | 165 | 1235164 | 6130.73 | 800 | 774 | 201.3 |
D | 2 | 249 | 258435 | 1279.7 | 800 | 774 | 201.3 |
D | 13 | 29 | 71109 | 349.33 | 800 | 774 | 201.3 |
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. |
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|
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 | |