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Rivet 3.1.9
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Functions | |
const CentralityProjection & | Rivet::Analysis::declareCentrality (const SingleValueProjection &proj, string calAnaName, string calHistName, const string projName, bool increasing=false) |
Book a CentralityProjection. | |
template<class T > | |
Percentile< T > | Rivet::Analysis::bookPercentile (string projName, vector< pair< float, float > > centralityBins, vector< tuple< int, int, int > > ref) |
Book a Percentile wrapper around AnalysisObjects. | |
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inline |
Book a Percentile wrapper around AnalysisObjects.
Based on a previously registered CentralityProjection named projName book one AnalysisObject for each centralityBin and name them according to the corresponding code in the ref vector.
References Rivet::PercentileTBase< T >::add(), Rivet::Analysis::addAnalysisObject(), Rivet::Analysis::histoPath(), and Rivet::Analysis::mkAxisCode().
const CentralityProjection & Rivet::Analysis::declareCentrality | ( | const SingleValueProjection & | proj, |
string | calAnaName, | ||
string | calHistName, | ||
const string | projName, | ||
bool | increasing = false |
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Book a CentralityProjection.
Using a SingleValueProjection, proj, giving the value of an experimental observable to be used as a centrality estimator, book a CentralityProjection based on the experimentally measured pecentiles of this observable (as given by the reference data for the calHistName histogram in the calAnaName analysis. If a preloaded file with the output of a run using the calAnaName analysis contains a valid generated calHistName histogram, it will be used as an optional percentile binning. Also if this preloaded file contains a histogram with the name calHistName with an appended "_IMP" This histogram will be used to add an optional centrality percentile based on the generated impact parameter. If increasing is true, a low (high) value of proj is assumed to correspond to a more peripheral (central) event.