Observation information
- date-obs: 2024-05-16
- time-obs: 04:00:21.529000000
- date-end: 2024-05-16
- time-end: 05:28:16.525800000
- obs_id: A13_092T19_9000006252
- exposure: 3022.89671105
- 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_46681cztM0_level2.fits
| modeM0/AS1A13_092T19_9000006252_46681cztM0_level2_quad_clean.evt
|
Size (bytes) | 526,380,480 | 75,648,960 |
Size | 502.0 MB
| 72.1 MB
|
Events in quadrant A | 4,893,320 | 537,748 |
Events in quadrant B | 2,478,502 | 559,859 |
Events in quadrant C | 2,228,468 | 540,099 |
Events in quadrant D | 9,476,150 | 283,967 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 106 | 0 |
B | 0 | 106 | 0 |
C | 0 | 106 | 0 |
D | 0 | 106 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 18126 | 37 |
B | 0 | 10993 | 30 |
C | 0 | 10731 | 14 |
D | 0 | 31909 | 143 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 5261 | 94 | 1.786733% |
B | 5258 | 35 | 0.665652% |
C | 5267 | 10 | 0.189861% |
D | 5256 | 2516 | 47.869102% |
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 | 5268 | 5266 | 7 | 7 | 0.13% | 0.13% | |
B | 5268 | 5264 | 2 | 2 | 0.04% | 0.04% | |
C | 5272 | 5269 | 1 | 1 | 0.02% | 0.02% | |
D | 5265 | 5261 | 2372 | 2372 | 45.05% | 45.09% | |
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 | 2598433 | 22205.69 | 559 | 550 | 117.0 |
A | 13 | 248 | 53795 | 455.12 | 559 | 550 | 117.0 |
A | 0 | 243 | 28720 | 240.79 | 559 | 550 | 117.0 |
B | 0 | 198 | 80462 | 713.51 | 561 | 543 | 112.0 |
B | 0 | 190 | 52417 | 463.13 | 561 | 543 | 112.0 |
B | 4 | 171 | 41310 | 363.96 | 561 | 543 | 112.0 |
C | 9 | 237 | 24515 | 182.71 | 554 | 557 | 131.1 |
C | 12 | 2 | 13910 | 101.83 | 554 | 557 | 131.1 |
C | 14 | 254 | 12793 | 93.31 | 554 | 557 | 131.1 |
D | 1 | 52 | 6880837 | 58590.87 | 464 | 449 | 117.4 |
D | 13 | 249 | 296020 | 2516.97 | 464 | 449 | 117.4 |
D | 12 | 128 | 161591 | 1372.23 | 464 | 449 | 117.4 |
Detector plane histogram (DPH)
Histogram calculated using DETX and DETY for each event in the final _common_clean file
Quadrant A |
|
|
Quadrant B |
Quadrant D |
|
|
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 |
|
|
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 | |