Workhorse class: groups events into clusters around bases and other events using the log likelihood method. More...

Public Member Functions
void	doClustering (const char dataGlob, const char mcGlob, const char *outFileName, bool useAcclaimFiles=true)

void	testSmallClusters (const char dataGlob, const char outFileName, int clusterSizeMin=5, int clusterSizeMax=16, int nAttempts=100)

bool	getUseBaseList ()

void	setUseBaseList (bool useBaseList)

void	setCut (TCut cut)

void	setCutHical (bool hc)

void	setSelfLLMax (double llmax)

void	setSurfaceDistThresholdKm (Double_t dist)

void	setPercentOfMC (Int_t percent)

bool	getDebug ()

void	setDebug (bool db)

size_t	addCut (const TCut c)

Public Attributes
bool	fStoreUnclusteredHistograms

Static Public Attributes
static const Int_t	SmallClusterSizeThreshold = 100

Detailed Description

Workhorse class: groups events into clusters around bases and other events using the log likelihood method.

Definition at line 214 of file AcclaimClustering.h.

Member Function Documentation

size_t Acclaim::Clustering::LogLikelihoodMethod::addCut ( const TCut c )

inline

Add a ThermalChain style cut

Definition at line 244 of file AcclaimClustering.h.

The documentation for this class was generated from the following files: