The purpose of the Centrality Framework is to fit distributions of the multiplicity of produced particles and the energy of spectators using output of the MC-Glauber model. Also it is possible to define centrality classes and to reconstruct initial geometry parameters using this package. This package allows you to fit 1D and 2D histograms using various methods for multiplicity and spectators energy (see below).

cd centrality-master
mkdir build
cd build
source /path-to-root/thisroot.sh
cmake ../
make

To run fit of the histogram use:

./glauber config.txt

The template of the config.txt file can be found in the centrality-master directory. Description of the config file fields can be found below:

Seed: seed for the gRandom

EstimatorStepX: step of the bins for Chi2 calculation for the X dimension

MinEstimatorX: minimum bin for Chi2 calculation for the X dimension

MaxEstimatorX: maximum bin for Chi2 calculation for the X dimension

MinFitRangeX: minimum possible range for Chi2 calculation for the X dimension (usually use MaxEstimatorX-MinEstimatorX)

EstimatorStepY: step of the bins for Chi2 calculation for the Y dimension

MinEstimatorY: minimum bin for Chi2 calculation for the Y dimension

MaxEstimatorY: maximum bin for Chi2 calculation for the Y dimension

MinFitRangeY: minimum possible range for Chi2 calculation for the Y dimension (usually use MaxEstimatorY-MinEstimatorY)

kMin: minimum k parameter

kMax: maximum k parameter

kStep: step for k parameter

fMin: minimum f parameter

fMax: maximum f parameter

fStep: step for f parameter

Glauber_filename: name of the file with output from MC-Glauber model

Glauber_treename: name of the tree in the file with output from MC-Glauber model

DataHisto_filename: name of the file with histograme from data

DataHisto_name: name of the histograme from data

OutDirName: name of the derictory for the output file

OutFileIDName: suffix for the output files

Ancestor_Mode: mode for the calculations of the number of ancestors

Mode: mode for the building of the model histogram (Multiplicity, Energy etc.)

HistoMode: 1D/2D histogram

Fit_Mode: GoldenSection/Iteration mode for the mu parameter searching

nMuIter: number of iterations for the mu parameter searching

AProj: mass of the projectile nuclei

ZProj: charge of the projectile nuclei

ATarg: mass of the target nuclei

ZTarg: charge of the target nuclei

EBeam: energy of the beam

NEvents: number of MC-Glauber events using for fitting

After fitting the data histogram it is possible to determine centrality classes using HistoCut.C macro and reconstruct initial geometry parameters in these classes usind CentralityClasses.C macro.

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