• date-obs: 2026-09-16
• time-obs: 09:51:19.458100000
• date-end: 2026-09-16
• time-end: 12:25:02.437500000
• obs_id: A14_033T01_9000006608
• exposure: 6754.78543389
• sourceid: V515 And
• observer: emschlegel
• ra_pnt: 13.83333
• dec_pnt: 46.21583

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	9223	7129	42	42	0.46%	0.59%
B	9223	7130	49	49	0.53%	0.69%
C	9223	7129	86	86	0.93%	1.21%
D	9224	7130	278	278	3.01%	3.90%

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