ASTROSAT CZTI

Data Quality Report

Orbit 20170806_A03_052T01_9000001436_level2

Creation date: 2025-11-15T19:31:38.717645
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/AS1A03_052T01_9000001436cztM0_level2.fits modeM0/AS1A03_052T01_9000001436cztM0_level2_quad_clean.evt
Size (bytes)475,657,920467,210,880
Size453.6 MB 445.6 MB
Events in quadrant A2,975,6083,336,426
Events in quadrant B4,812,3443,876,791
Events in quadrant C2,982,4943,183,490
Events in quadrant D650,224771,813

Level1 data integrity


Mode SS
QuadrantBADHDUFLAGTotal packetsDiscarded packets
A010850
B010880
C010630
D010800

Mode M9
QuadrantBADHDUFLAGTotal packetsDiscarded packets
A1140386216806440140385301037102
B1140386216806440140385301037102
C1140386216806440140385301037102
D1140386216806440140385301037102

Mode M0
QuadrantBADHDUFLAGTotal packetsDiscarded packets
A01171080
B01184180
C01078530
D0314140

Data saturation


QuadrantTotal secondsSaturated secondsSaturation percentage
A524079111.738317%
B5233210722.048460%
C526533650.693218%
D135802681.973490%

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 75472 56003 0 0 0.00% 0.00%
B 393211 55935 0 0 0.00% 0.00%
C 393184 56229 0 0 0.00% 0.00%
D 393183 14443 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 2837 10.96 772 722 193.1
A 7 110 2444 8.92 772 722 193.1
A 0 30 2152 7.41 772 722 193.1
B 2 9 2923 7.07 1287 1251 236.6
B 12 226 2716 6.19 1287 1251 236.6
B 5 252 2456 5.09 1287 1251 236.6
C 1 80 2314 7.5 787 731 211.0
C 1 81 2223 7.07 787 731 211.0
C 2 191 2056 6.28 787 731 211.0
D 1 19 491 6.2 185 168 52.1
D 7 3 485 6.09 185 168 52.1
D 6 67 476 5.92 185 168 52.1

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