Observation information
- date-obs: 2024-07-07
- time-obs: 00:42:14.776000000
- date-end: 2024-07-07
- time-end: 02:46:06.769800000
- obs_id: A13_089T01_9000006330
- exposure: 7107.67481565
- sourceid: J1316+2614
- observer: rmarques
- ra_pnt: 199.1234
- dec_pnt: 26.23529
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_089T01_9000006330_47450cztM0_level2.fits
| modeM0/AS1A13_089T01_9000006330_47450cztM0_level2_quad_clean.evt
|
Size (bytes) | 514,336,320 | 118,108,800 |
Size | 490.5 MB
| 112.6 MB
|
Events in quadrant A | 7,356,113 | 767,513 |
Events in quadrant B | 4,104,341 | 795,432 |
Events in quadrant C | 3,354,076 | 781,083 |
Events in quadrant D | 3,649,669 | 715,862 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 150 | 0 |
B | 0 | 150 | 0 |
C | 0 | 150 | 0 |
D | 0 | 150 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 26775 | 1 |
B | 0 | 17201 | 1 |
C | 0 | 15442 | 1 |
D | 0 | 16340 | 1 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 7412 | 234 | 3.157043% |
B | 7412 | 264 | 3.561792% |
C | 7412 | 16 | 0.215866% |
D | 7412 | 50 | 0.674582% |
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 | 7432 | 7413 | 5 | 5 | 0.07% | 0.07% | |
B | 7432 | 7413 | 99 | 99 | 1.33% | 1.34% | |
C | 7432 | 7413 | 5 | 5 | 0.07% | 0.07% | |
D | 7432 | 7413 | 30 | 30 | 0.40% | 0.40% | |
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 | 3820739 | 21658.09 | 840 | 819 | 176.4 |
A | 9 | 191 | 260402 | 1471.78 | 840 | 819 | 176.4 |
A | 2 | 79 | 14104 | 75.32 | 840 | 819 | 176.4 |
B | 5 | 32 | 679289 | 4020.52 | 843 | 814 | 168.8 |
B | 0 | 198 | 26856 | 154.32 | 843 | 814 | 168.8 |
B | 12 | 111 | 21968 | 125.35 | 843 | 814 | 168.8 |
C | 3 | 233 | 78638 | 391.44 | 836 | 840 | 198.7 |
C | 1 | 3 | 9775 | 44.96 | 836 | 840 | 198.7 |
C | 12 | 250 | 6108 | 26.51 | 836 | 840 | 198.7 |
D | 2 | 249 | 318059 | 1508.65 | 828 | 802 | 210.3 |
D | 12 | 2 | 48968 | 229.04 | 828 | 802 | 210.3 |
D | 2 | 234 | 39827 | 185.58 | 828 | 802 | 210.3 |
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 | |