Motivations
Details
In dataMonitoring/Common Common-06-10-00 there's a first attempt at a piece of code to be run in the pipeline.
It takes the digi and merit trending root files for a given run and the basic usage is:
Usage: pBadTimeIntervalLogger.py [options] digitrend merittrend
Options:
-h, --help show this help message and exit
-r R, --root-output=R
path to the output root file
-i, --interactive run in interactive mode (show the plots)
-p P, --png-output=P path to the output png file
-x X, --xml-output=X path to the output xml file
-f F, --flare-threshold=F
threshold on the normalized ACD hit rate for the flare
intervals
-c C, --count-threshold=C
threshold on the normalized ACD tile count for the bad
time intervals
-t T, --min-time-padding=T
minimum time padding (in s) for fitting the normalized
transient rate outside any flare interval
-M M, --min-int-loss=M
minimum integral loss (in s) for defining a bad time
interval
-m M, --min-diff-loss=M
minimum differential loss for defining a bad time
interval
-s S, --int-loss-start=S
integrated loss (in s) defining the start of a bad
time interval
-e E, --frac-loss-end=E
fraction of the total integrated loss defining the end
of a bad time interval
-n N, --num-plateau-points=N
number of points for the evaluation of the total
integrated loss
Usage: pBadTimeIntervalLogger.py [options] digitrend merittrend