Observation information
- date-obs: 2023-11-20
- time-obs: 10:16:52.696200000
- date-end: 2023-11-20
- time-end: 11:52:05.695500000
- obs_id: A13_025T02_9000005938
- exposure: 5272.43019164
- sourceid: Fornax A
- observer: anantha912
- ra_pnt: 50.46517
- dec_pnt: -37.14309
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_025T02_9000005938_44048cztM0_level2.fits
| modeM0/AS1A13_025T02_9000005938_44048cztM0_level2_quad_clean.evt
|
Size (bytes) | 372,669,120 | 90,299,520 |
Size | 355.4 MB
| 86.1 MB
|
Events in quadrant A | 3,407,077 | 596,930 |
Events in quadrant B | 2,745,410 | 619,163 |
Events in quadrant C | 3,040,149 | 596,002 |
Events in quadrant D | 4,157,308 | 522,426 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 13664 | 1 |
B | 0 | 12176 | 0 |
C | 0 | 13061 | 0 |
D | 0 | 16270 | 0 |
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 114 | 0 |
B | 0 | 114 | 0 |
C | 0 | 114 | 0 |
D | 0 | 114 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 5713 | 158 | 2.765622% |
B | 5713 | 149 | 2.608087% |
C | 5713 | 141 | 2.468055% |
D | 5713 | 464 | 8.121827% |
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 | 5713 | 5713 | 0 | 0 | 0.00% | 0.00% |  |
B | 5713 | 5713 | 8 | 8 | 0.14% | 0.14% |  |
C | 5713 | 5713 | 52 | 52 | 0.91% | 0.91% |  |
D | 5713 | 5713 | 344 | 344 | 6.02% | 6.02% |  |
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 | 851085 | 6237.68 | 650 | 635 | 136.3 |
A | 10 | 255 | 26542 | 190.02 | 650 | 635 | 136.3 |
A | 7 | 3 | 11762 | 81.61 | 650 | 635 | 136.3 |
B | 0 | 213 | 123343 | 938.43 | 647 | 625 | 130.8 |
B | 0 | 200 | 41566 | 313.08 | 647 | 625 | 130.8 |
B | 12 | 111 | 16941 | 124.77 | 647 | 625 | 130.8 |
C | 14 | 254 | 288078 | 1905.56 | 634 | 637 | 150.8 |
C | 15 | 158 | 151985 | 1003.34 | 634 | 637 | 150.8 |
C | 3 | 233 | 87720 | 577.31 | 634 | 637 | 150.8 |
D | 1 | 52 | 1044753 | 6641.19 | 620 | 602 | 157.2 |
D | 5 | 235 | 369516 | 2346.43 | 620 | 602 | 157.2 |
D | 2 | 249 | 82858 | 523.18 | 620 | 602 | 157.2 |
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 |  |