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geant4/examples/advanced/Tiara/source/tiara/src/TiaraMeasure.cc
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2016-06-09 12:11:21 +02:00

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//
// ********************************************************************
// * DISCLAIMER *
// * *
// * The following disclaimer summarizes all the specific disclaimers *
// * of contributors to this software. The specific disclaimers,which *
// * govern, are listed with their locations in: *
// * http://cern.ch/geant4/license *
// * *
// * Neither the authors of this software system, nor their employing *
// * institutes,nor the agencies providing financial support for this *
// * work make any representation or warranty, express or implied, *
// * regarding this software system or assume any liability for its *
// * use. *
// * *
// * This code implementation is the intellectual property of the *
// * GEANT4 collaboration. *
// * By copying, distributing or modifying the Program (or any work *
// * based on the Program) you indicate your acceptance of this *
// * statement, and all its terms. *
// ********************************************************************
//
// $Id: TiaraMeasure.cc,v 1.3 2003/06/25 09:13:09 gunter Exp $
// GEANT4 tag $Name: geant4-07-01 $
//
#include "TiaraMeasure.hh"
TiaraMeasure::TiaraMeasure() :
fEntries(0),
fSum(0),
fSumSquared(0)
{}
TiaraMeasure::~TiaraMeasure()
{}
void TiaraMeasure::Xin(G4double v) {
fEntries++;
fSum+=v;
fSumSquared+=(v*v);
};
G4int TiaraMeasure::GetEntries() const {
return fEntries;
}
G4double TiaraMeasure::GetMean() const {
G4double mean(0);
if (fEntries>0) {
mean = fSum / fEntries;
} else {
G4cout << "TiaraMeasure::GetMean(): fEntries<=0" << G4endl;
}
return mean;
}
G4double TiaraMeasure::GetVariance() const {
G4double variance(-1);
G4double mean(GetMean());
if (fEntries>1) {
variance = (static_cast<double>(fEntries)/(fEntries - 1)) *
(fSumSquared/fEntries - mean*mean);
} else {
G4cout << "TiaraMeasure::GetVariance(): fEntries<=0" << G4endl;
}
return variance;
}
G4double TiaraMeasure::GetSum() const {
return fSum;
}
G4double TiaraMeasure::GetSumSquared() const {
return fSumSquared;
}