Rivet tutorials
Plotting
Rivet provides a rivet-mkhtml script for comparing and
plotting data files. This command produces nice comparison plots of
publication quality from the YODA files.
The high-level program rivet-mkhtml will automatically
create a plot webpage from the given YODA files. It searches for
reference data automatically and uses the other two commands internally.
Example:
rivet-mkhtml withUE.yoda:'Title=With UE' withoutUE.yoda:'LineColor=blue'
Run rivet-mkhtml --help to find out about all features
and options.
Plotting options will be taken from *.plot files
installed in Rivet’s share directory. These contain plotting
instructions as documented here.
Such files can also be written for any plugin analysis and will be found
if they are in the RIVET_ANALYSIS_PATH.
YODA’s plotting API is discussed here.
Changing the reference data style
The style of the reference data can be influenced using a dummy
REF argument on the command line,
e.g. REF:LineColor=red. Additional tags can be supplied in
order to superimpose the reference curve with different properties,
e.g.
REF:ErrorBandColor=green yellow REF2:ErrorPatter=^stat:ErrorBandColor=darkgreen"
Under- and overflows
Under- and overflow bins aren’t plotted by default because their bin width is infinite. A dummy bin width can be supplied when turning histograms into estimates, e.g. in general using something like
Estimat1DPtr est = hist->mkEstimate(/*path =*/ hist->path(),
/*source =*/ "stats",
/*divbyvol =*/ true,
/*overflowWidth =*/ 1.0);which will avoid a division by infinity in the overflows.
In practice, this could be set up inside a routine as follows:
void init() {
...
book(_h, "_aux_example", 5, 0.2, 0.8);
book(_e, "example", 5, 0.2, 0.8);
}
...
void finalize() {
scale(_h, crossSection()/sumOfWeights());
*_e = _h->mkEstimate(_e->path(), "stats", true, 1.0);
}
...
Histo1DPtr _h;
Estimate1DPtr _e;The IncludeOverflows=<0|1> toggle can be used to
get these bins visualised:
rivet-mkhtml input.yoda.gz PLOT:IncludeOverflows=1