Observation information
- date-obs: 2024-05-16
- time-obs: 07:34:26.522600000
- date-end: 2024-05-16
- time-end: 09:42:08.518500000
- obs_id: A13_092T19_9000006252
- exposure: 7333.69811481
- 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_46683cztM0_level2.fits
| modeM0/AS1A13_092T19_9000006252_46683cztM0_level2_quad_clean.evt
|
Size (bytes) | 635,961,600 | 127,667,520 |
Size | 606.5 MB
| 121.8 MB
|
Events in quadrant A | 7,272,711 | 866,374 |
Events in quadrant B | 3,940,732 | 863,584 |
Events in quadrant C | 3,562,804 | 838,428 |
Events in quadrant D | 8,172,757 | 764,523 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 152 | 0 |
B | 0 | 152 | 0 |
C | 0 | 152 | 0 |
D | 0 | 152 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 26635 | 0 |
B | 0 | 17153 | 0 |
C | 0 | 16348 | 0 |
D | 0 | 29675 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 7662 | 162 | 2.114330% |
B | 7663 | 87 | 1.135326% |
C | 7662 | 34 | 0.443748% |
D | 7662 | 367 | 4.789872% |
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 | 7662 | 7662 | 7 | 7 | 0.09% | 0.09% | |
B | 7663 | 7663 | 38 | 38 | 0.50% | 0.50% | |
C | 7662 | 7662 | 25 | 25 | 0.33% | 0.33% | |
D | 7662 | 7662 | 285 | 285 | 3.72% | 3.72% | |
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 | 3665018 | 20165.71 | 866 | 848 | 181.7 |
A | 0 | 247 | 114781 | 627.03 | 866 | 848 | 181.7 |
A | 13 | 248 | 93581 | 510.35 | 866 | 848 | 181.7 |
B | 4 | 171 | 355329 | 2089.37 | 851 | 824 | 169.7 |
B | 5 | 255 | 71813 | 418.39 | 851 | 824 | 169.7 |
B | 12 | 3 | 40398 | 233.24 | 851 | 824 | 169.7 |
C | 15 | 208 | 144650 | 720.34 | 842 | 847 | 199.6 |
C | 0 | 207 | 46846 | 230.42 | 842 | 847 | 199.6 |
C | 14 | 254 | 38350 | 187.86 | 842 | 847 | 199.6 |
D | 1 | 52 | 4432902 | 21060.54 | 834 | 808 | 210.4 |
D | 13 | 249 | 182936 | 865.44 | 834 | 808 | 210.4 |
D | 2 | 249 | 100321 | 472.87 | 834 | 808 | 210.4 |
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 |
|
|
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 | |