Observation information
- date-obs: 2024-07-11
- time-obs: 00:09:47.491300000
- date-end: 2024-07-11
- time-end: 02:25:00.479900000
- obs_id: A13_037T05_9000006332
- exposure: 7722.19547307
- 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_9000006332_47509cztM0_level2.fits
| modeM0/AS1A13_037T05_9000006332_47509cztM0_level2_quad_clean.evt
|
Size (bytes) | 562,029,120 | 131,970,240 |
Size | 536.0 MB
| 125.9 MB
|
Events in quadrant A | 8,221,088 | 867,331 |
Events in quadrant B | 4,363,064 | 911,957 |
Events in quadrant C | 3,523,759 | 863,614 |
Events in quadrant D | 4,067,716 | 789,094 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 162 | 0 |
B | 0 | 162 | 0 |
C | 0 | 162 | 0 |
D | 0 | 162 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 29757 | 0 |
B | 0 | 18504 | 0 |
C | 0 | 16667 | 0 |
D | 0 | 18055 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 8114 | 343 | 4.227262% |
B | 8114 | 81 | 0.998275% |
C | 8114 | 4 | 0.049298% |
D | 8114 | 57 | 0.702490% |
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 | 8114 | 8114 | 146 | 146 | 1.80% | 1.80% | |
B | 8114 | 8114 | 20 | 20 | 0.25% | 0.25% | |
C | 8114 | 8114 | 1 | 1 | 0.01% | 0.01% | |
D | 8114 | 8114 | 46 | 46 | 0.57% | 0.57% | |
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 | 4188158 | 22049.5 | 899 | 879 | 189.9 |
A | 13 | 248 | 362835 | 1906.0 | 899 | 879 | 189.9 |
A | 15 | 235 | 93669 | 488.62 | 899 | 879 | 189.9 |
B | 0 | 200 | 367244 | 2042.19 | 909 | 881 | 179.4 |
B | 5 | 32 | 227257 | 1261.87 | 909 | 881 | 179.4 |
B | 0 | 198 | 98633 | 544.89 | 909 | 881 | 179.4 |
C | 1 | 3 | 30460 | 140.98 | 889 | 895 | 209.7 |
C | 3 | 233 | 22239 | 101.78 | 889 | 895 | 209.7 |
C | 13 | 61 | 6086 | 24.75 | 889 | 895 | 209.7 |
D | 2 | 249 | 226974 | 1020.03 | 884 | 856 | 221.7 |
D | 2 | 165 | 115686 | 518.0 | 884 | 856 | 221.7 |
D | 4 | 222 | 109884 | 491.83 | 884 | 856 | 221.7 |
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 |
|
|
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 |
|
|
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 | |