Observation information
- date-obs: 2024-05-03
- time-obs: 05:03:26.276500000
- date-end: 2024-05-03
- time-end: 05:58:38.275100000
- obs_id: A13_037T05_9000006216
- exposure: 3160.13039297
- 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_9000006216_46489cztM0_level2.fits
| modeM0/AS1A13_037T05_9000006216_46489cztM0_level2_quad_clean.evt
|
Size (bytes) | 235,442,880 | 56,759,040 |
Size | 224.5 MB
| 54.1 MB
|
Events in quadrant A | 2,900,722 | 379,417 |
Events in quadrant B | 1,674,445 | 390,828 |
Events in quadrant C | 1,462,477 | 380,322 |
Events in quadrant D | 2,418,777 | 333,225 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 10549 | 0 |
B | 0 | 7100 | 0 |
C | 0 | 6634 | 0 |
D | 0 | 9380 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 66 | 0 |
B | 0 | 66 | 0 |
C | 0 | 66 | 0 |
D | 0 | 66 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3312 | 13 | 0.392512% |
B | 3312 | 15 | 0.452899% |
C | 3313 | 0 | 0.000000% |
D | 3313 | 133 | 4.014488% |
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 | 3312 | 3312 | 2 | 2 | 0.06% | 0.06% | |
B | 3312 | 3312 | 10 | 10 | 0.30% | 0.30% | |
C | 3313 | 3313 | 0 | 0 | 0.00% | 0.00% | |
D | 3313 | 3313 | 122 | 122 | 3.68% | 3.68% | |
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 | 1368970 | 17271.99 | 377 | 370 | 79.2 |
A | 15 | 235 | 32025 | 399.49 | 377 | 370 | 79.2 |
A | 7 | 3 | 22742 | 282.34 | 377 | 370 | 79.2 |
B | 4 | 171 | 91127 | 1240.36 | 372 | 362 | 73.2 |
B | 5 | 172 | 60904 | 827.35 | 372 | 362 | 73.2 |
B | 0 | 190 | 22138 | 297.58 | 372 | 362 | 73.2 |
C | 5 | 250 | 4751 | 49.8 | 372 | 375 | 87.9 |
C | 3 | 233 | 3757 | 38.49 | 372 | 375 | 87.9 |
C | 13 | 61 | 2561 | 24.88 | 372 | 375 | 87.9 |
D | 1 | 52 | 444932 | 4729.15 | 366 | 354 | 94.0 |
D | 2 | 249 | 230695 | 2450.23 | 366 | 354 | 94.0 |
D | 8 | 176 | 190915 | 2027.07 | 366 | 354 | 94.0 |
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 | |