ASTROSAT CZTI

Data Quality Report

Orbit 20170627_C02_045T01_9000001342_level2

Creation date: 2025-11-14T21:31:10.812351
Switch to: Orbit-wise | Merged OBSID-wise
web.py, SVN revision $Rev$

Source files: Data quality report (detailed, human readable) | Data quality report (concise, machine readable)

Observation information


Basic statistics of files

Param Original file Final file
FilenamemodeM0/AS1C02_045T01_9000001342cztM0_level2.fits modeM0/AS1C02_045T01_9000001342cztM0_level2_quad_clean.evt
Size (bytes)174,870,720158,924,160
Size166.8 MB 151.6 MB
Events in quadrant A1,040,930904,464
Events in quadrant B1,003,322898,886
Events in quadrant C1,025,574870,456
Events in quadrant D902,896815,233

Level1 data integrity


Mode SS
QuadrantBADHDUFLAGTotal packetsDiscarded packets
A03980
B03940
C03900
D03960

Mode M9
QuadrantBADHDUFLAGTotal packetsDiscarded packets
A1140397449234472140393890971694
B1140397449234472140393890971694
C1140397449234472140393890971694
D1140397449234472140393890971694

Mode M0
QuadrantBADHDUFLAGTotal packetsDiscarded packets
A0452030
B0403410
C0399820
D0425670

Data saturation


QuadrantTotal secondsSaturated secondsSaturation percentage
A191702241.168492%
B192071920.999636%
C191801050.547445%
D191992171.130267%

Noise dominated fraction

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 22530 19309 0 0 0.00% 0.00%
B 22554 19369 0 0 0.00% 0.00%
C 22550 19348 0 0 0.00% 0.00%
D 22535 19363 0 0 0.00% 0.00%

Top noisy pixels

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

Pixel properties Quadrant properties
Quadrant DetID PixID Counts Sigma Mean Median Sigma
A 0 29 978 10.4 271 254 69.6
A 7 110 885 9.06 271 254 69.6
A 0 30 786 7.64 271 254 69.6
B 2 9 857 11.01 265 252 54.9
B 14 254 725 8.6 265 252 54.9
B 2 8 663 7.47 265 252 54.9
C 2 191 745 6.86 270 252 71.8
C 7 111 720 6.51 270 252 71.8
C 12 241 719 6.5 270 252 71.8
D 3 14 683 6.5 255 232 69.4
D 6 231 668 6.28 255 232 69.4
D 7 5 645 5.95 255 232 69.4

Detector plane histogram (DPH)

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

Quadrant A Quadrant B
Quadrant D Quadrant C

Count rate plots and images

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

Housekeeping plots

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