fccanalysis-plots-script – analysis script for the
plots stage of the analysis
The analysis script for the plots stage of the analysis is
expected to be a valid Python script containing definitions of the plots out
of the histograms obtained in the final stage of the analysis or from
histmaker run. To run the plots stage do
- fccanalysis plots analysis_script.py
User can use the following global attributes to control the
behavior of the plots stage.
- inputDir or
indir (mandatory)
- User has to specify the directory where the input files coming from the
previous analysis stage are stored.
- outputDir or
outdir (optional)
- User can specify the directory for the output files.
Default value: . (current working directory)
- doScale
(optional)
- Whether to scale the histograms to the expected integrated luminosity. It
is recommended to scale your histograms already in the final stage
of the analysis.
Default value: False
- intLumi
(mandatory)
- Expected integrated luminosity in pb^{-1}. The value will be used in the
figures, but also to scale histograms if doScale is set to True.
Default value: Value from the input file
- intLumiLabel
(optional)
- Custom label for the expected integrated luminosity.
Default value: None
- scaleSig
(optional)
- Additional scale factor to be applied on the signal histograms.
Default value: 1.0
- scaleBkg
(optional)
- Additional scale factor to be applied on the background histograms.
Default value: 1.0
- plots
(mandatory)
- Dictionary of plots to be created.
Default value: {} (empty dictionary)
- splitLeg
(optional)
- Whether to split legend into two columns.
Default value: False
- legendCoord
(optional)
- Adjusts position of the legend. Takes a list of four values.
Default value: List of four None
- plotStatUnc
(optional)
- Whether to plot statistical uncertainty.
Default value: False
- legendTextSize
(optional)
- Adjusts size of the text in the plot's legend.
Default value: 0.035
This section is under construction. You are invited to help :)
fccanalysis(1), fccanalysis-plots(1)
There are many contributors to the FCCAnalyses framework, but the
principal authors are:
Clement Helsens
Valentin Volkl
Gerardo Ganis
Part of the FCCAnalyses framework.