group Booking heavy ion features

Booking heavy ion features #

Functions ##

Functions Documentation ##

function declareCentrality ##

const CentralityProjection & declareCentrality(
    const SingleValueProjection & proj,
    string calAnaName,
    string calHistName,
    const string projName,
    bool increasing =false
)

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.

function bookPercentile ##

template <class T >
inline Percentile< T > bookPercentile(
    string projName,
    vector< pair< float, float > > centralityBins,
    vector< tuple< int, int, int > > ref
)

Book a Percentile wrapper around AnalysisObjects.

Todo: Convert to just be called book() cf. others

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.

Updated on 2022-08-07 at 20:17:18 +0100