• date-obs: 2020-05-19
• time-obs: 02:54:41.375500000
• date-end: 2020-05-19
• time-end: 05:12:39.371600000
• obs_id: T03_206T01_9000003672
• exposure: 3569.0062713
• sourceid: OJ 287
• observer: agarwal.a
• ra_pnt: 133.7036
• dec_pnt: 20.10851

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	7713	7514	88	88	1.14%	1.17%
B	7713	7513	70	70	0.91%	0.93%
C	7713	7513	1374	1374	17.81%	18.29%
D	7713	7513	47	47	0.61%	0.63%

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

Histogram calculated using DETX and DETY for each event in the final _common_clean file

Quadrant A			Quadrant B
Quadrant D			Quadrant C

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

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