• date-obs: 2016-06-06
• time-obs: 14:32:29.363300000
• date-end: 2016-06-06
• time-end: 16:27:42.361100000
• obs_id: G05_248T01_9000000486
• exposure: 4540.37542109
• sourceid: ngc 4051
• observer: stalin
• ra_pnt: 180.79
• dec_pnt: 44.53139

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	6913	6664	178	178	2.57%	2.67%
B	6913	6664	34	34	0.49%	0.51%
C	6913	6664	1	1	0.01%	0.02%
D	6913	6664	59	59	0.85%	0.89%

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
Veto Counter