• date-obs: 2026-08-25
• time-obs: 18:00:23.895300000
• date-end: 2026-08-25
• time-end: 20:18:22.874600000
• obs_id: A14_004T02_9000006600
• exposure: 3747.98928511
• sourceid: Abell 2199_F6
• observer: chandan
• ra_pnt: 247.82
• dec_pnt: 39.93

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	7719	6820	120	120	1.55%	1.76%
B	7718	6819	392	392	5.08%	5.75%
C	7718	6819	2951	2951	38.24%	43.28%
D	7718	6819	501	501	6.49%	7.35%

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

Parameter	TCT0	TCT_healed
Tct