• date-obs: 2026-08-16
• time-obs: 22:25:45.772900000
• date-end: 2026-08-17
• time-end: 00:47:47.739400000
• obs_id: A14_004T07_9000006598
• exposure: 4966.41137993
• sourceid: Abell 2199_F11
• observer: chandan
• ra_pnt: 246.49
• dec_pnt: 39.05

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	8521	6973	54	54	0.63%	0.77%
B	8522	6974	123	123	1.44%	1.76%
C	8522	6974	210	210	2.46%	3.01%
D	8522	6974	2365	2365	27.75%	33.91%

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