Observation information
- date-obs: 2024-09-10
- time-obs: 16:53:21.619700000
- date-end: 2024-09-10
- time-end: 17:54:21.616000000
- obs_id: A13_029T01_9000006426
- exposure: 3409.87133938
- sourceid: MACSJ0416.1-2403
- observer: chayan
- ra_pnt: 64.03709
- dec_pnt: -24.07464
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_029T01_9000006426_48426cztM0_level2.fits
| modeM0/AS1A13_029T01_9000006426_48426cztM0_level2_quad_clean.evt
|
Size (bytes) | 264,386,880 | 56,655,360 |
Size | 252.1 MB
| 54.0 MB
|
Events in quadrant A | 3,944,668 | 360,744 |
Events in quadrant B | 1,644,524 | 388,600 |
Events in quadrant C | 1,551,138 | 373,573 |
Events in quadrant D | 2,360,575 | 333,481 |
Level1 data integrity
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 14222 | 2 |
B | 0 | 7737 | 0 |
C | 0 | 7600 | 0 |
D | 0 | 9819 | 0 |
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 | 3659 | 260 | 7.105767% |
B | 3660 | 31 | 0.846995% |
C | 3660 | 5 | 0.136612% |
D | 3660 | 160 | 4.371585% |
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 | 3659 | 3659 | 102 | 102 | 2.79% | 2.79% | |
B | 3660 | 3660 | 6 | 6 | 0.16% | 0.16% | |
C | 3660 | 3660 | 0 | 0 | 0.00% | 0.00% | |
D | 3660 | 3660 | 129 | 129 | 3.52% | 3.52% | |
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 | 2123749 | 25242.39 | 391 | 381 | 84.1 |
A | 13 | 248 | 304536 | 3615.76 | 391 | 381 | 84.1 |
A | 13 | 254 | 7705 | 87.07 | 391 | 381 | 84.1 |
B | 12 | 16 | 23660 | 285.0 | 402 | 389 | 81.7 |
B | 12 | 32 | 13752 | 163.66 | 402 | 389 | 81.7 |
B | 12 | 111 | 10559 | 124.55 | 402 | 389 | 81.7 |
C | 15 | 208 | 6204 | 60.83 | 395 | 396 | 95.5 |
C | 13 | 61 | 2548 | 22.54 | 395 | 396 | 95.5 |
C | 12 | 2 | 2346 | 20.42 | 395 | 396 | 95.5 |
D | 12 | 2 | 340233 | 3435.91 | 386 | 373 | 98.9 |
D | 7 | 96 | 235682 | 2378.93 | 386 | 373 | 98.9 |
D | 12 | 233 | 80270 | 807.74 | 386 | 373 | 98.9 |
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 |
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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 | |