Observation information
- date-obs: 2024-05-11
- time-obs: 11:11:49.839100000
- date-end: 2024-05-11
- time-end: 12:14:11.836200000
- obs_id: A13_080T01_9000006240
- exposure: 3441.55649668
- sourceid: K37
- observer: saroonsasi19
- ra_pnt: 14.45221
- dec_pnt: -74.32545
Basic statistics of files
Param |
Original file |
Final file |
Filename | modeM0/AS1A13_080T01_9000006240_46613cztM0_level2.fits
| modeM0/AS1A13_080T01_9000006240_46613cztM0_level2_quad_clean.evt
|
Size (bytes) | 302,806,080 | 55,422,720 |
Size | 288.8 MB
| 52.9 MB
|
Events in quadrant A | 4,153,637 | 351,018 |
Events in quadrant B | 2,301,980 | 370,187 |
Events in quadrant C | 1,599,703 | 365,241 |
Events in quadrant D | 2,861,667 | 327,087 |
Level1 data integrity
Mode SS |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 76 | 0 |
B | 0 | 74 | 0 |
C | 0 | 74 | 0 |
D | 0 | 74 | 0 |
Mode M0 |
Quadrant | BADHDUFLAG | Total packets | Discarded packets |
---|
A | 0 | 14675 | 0 |
B | 0 | 9666 | 0 |
C | 0 | 7893 | 0 |
D | 0 | 11051 | 0 |
Data saturation
Quadrant | Total seconds | Saturated seconds | Saturation percentage |
---|
A | 3742 | 314 | 8.391235% |
B | 3742 | 149 | 3.981828% |
C | 3742 | 24 | 0.641368% |
D | 3742 | 184 | 4.917157% |
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 | 3742 | 3742 | 320 | 320 | 8.55% | 8.55% | |
B | 3742 | 3742 | 165 | 165 | 4.41% | 4.41% | |
C | 3742 | 3742 | 23 | 23 | 0.61% | 0.61% | |
D | 3742 | 3742 | 164 | 164 | 4.38% | 4.38% | |
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 | 1790524 | 23530.65 | 360 | 354 | 76.1 |
A | 0 | 247 | 802945 | 10549.55 | 360 | 354 | 76.1 |
A | 13 | 248 | 70811 | 926.11 | 360 | 354 | 76.1 |
B | 4 | 36 | 591660 | 8083.9 | 361 | 348 | 73.1 |
B | 0 | 189 | 111918 | 1525.28 | 361 | 348 | 73.1 |
B | 15 | 201 | 47187 | 640.34 | 361 | 348 | 73.1 |
C | 14 | 254 | 142181 | 1683.63 | 353 | 354 | 84.2 |
C | 12 | 2 | 61167 | 721.91 | 353 | 354 | 84.2 |
C | 3 | 233 | 8749 | 99.66 | 353 | 354 | 84.2 |
D | 1 | 52 | 507544 | 5744.65 | 349 | 338 | 88.3 |
D | 2 | 249 | 251860 | 2848.75 | 349 | 338 | 88.3 |
D | 12 | 128 | 224662 | 2540.71 | 349 | 338 | 88.3 |
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 |
|
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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 |
|
|
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 | |