Observation information
- date-obs: 2024-02-07
- time-obs: 08:23:18.243000000
- date-end: 2024-02-07
- time-end: 09:24:23.241200000
- obs_id: A13_049T06_9000006054
- exposure: 2887.31793696
- sourceid: Omega Cen P6
- observer: deepthisprabhu
- ra_pnt: 202.1995
- dec_pnt: -47.39274
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_049T06_9000006054_45216cztM0_level2.fits
| modeM0/AS1A13_049T06_9000006054_45216cztM0_level2_quad_clean.evt
|
Size (bytes) | 307,203,840 | 56,854,080 |
Size | 293.0 MB
| 54.2 MB
|
Events in quadrant A | 3,017,977 | 389,450 |
Events in quadrant B | 1,806,509 | 406,418 |
Events in quadrant C | 1,969,521 | 380,981 |
Events in quadrant D | 4,291,560 | 285,066 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 11589 | 2 |
B | 0 | 7722 | 0 |
C | 0 | 8430 | 0 |
D | 0 | 15263 | 2 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 74 | 0 |
B | 0 | 74 | 0 |
C | 0 | 74 | 0 |
D | 0 | 74 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3664 | 42 | 1.146288% |
B | 3666 | 5 | 0.136388% |
C | 3666 | 135 | 3.682488% |
D | 3665 | 873 | 23.819918% |
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 | 3665 | 3665 | 27 | 27 | 0.74% | 0.74% |  |
B | 3666 | 3666 | 3 | 3 | 0.08% | 0.08% |  |
C | 3666 | 3666 | 85 | 85 | 2.32% | 2.32% |  |
D | 3666 | 3666 | 795 | 795 | 21.69% | 21.69% |  |
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 | 1322888 | 15924.24 | 395 | 386 | 83.0 |
A | 13 | 248 | 82115 | 984.1 | 395 | 386 | 83.0 |
A | 15 | 174 | 52455 | 626.96 | 395 | 386 | 83.0 |
B | 3 | 112 | 169115 | 2183.57 | 395 | 383 | 77.3 |
B | 4 | 171 | 26967 | 344.02 | 395 | 383 | 77.3 |
B | 5 | 32 | 17256 | 218.35 | 395 | 383 | 77.3 |
C | 12 | 2 | 355740 | 3890.86 | 386 | 388 | 91.3 |
C | 15 | 208 | 52759 | 573.43 | 386 | 388 | 91.3 |
C | 3 | 233 | 37126 | 402.26 | 386 | 388 | 91.3 |
D | 13 | 249 | 2406514 | 26481.74 | 353 | 342 | 90.9 |
D | 1 | 52 | 198815 | 2184.35 | 353 | 342 | 90.9 |
D | 5 | 235 | 83951 | 920.18 | 353 | 342 | 90.9 |
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 |  |