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Histogram.cc
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Histogram.cc
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// -*- C++ -*-
//
// This is the implementation of the non-inlined, non-templated member
// functions of the Histogram class.
//
#include "Histogram.h"
#include "ThePEG/Interface/ClassDocumentation.h"
#ifdef ThePEG_TEMPLATES_IN_CC_FILE
// #include "Histogram.tcc"
#endif
#include "ThePEG/Persistency/PersistentOStream.h"
#include "ThePEG/Persistency/PersistentIStream.h"
using namespace Herwig;
Histogram::~Histogram() {}
void Histogram::persistentOutput(PersistentOStream & os) const {
// *** ATTENTION *** os << ; // Add all member variable which should be written persistently here.
}
void Histogram::persistentInput(PersistentIStream & is, int) {
// *** ATTENTION *** is >> ; // Add all member variable which should be read persistently here.
}
ClassDescription<Histogram> Histogram::initHistogram;
// Definition of the static class description member.
void Histogram::Init() {
static ClassDocumentation<Histogram> documentation
("There is no documentation for the Histogram class");
}
void Histogram::topdrawOutput(ofstream & out,
bool frame,
bool errorbars,
bool xlog, bool ylog,
string colour,
string title, string titlecase,
string left, string leftcase,
string bottom, string bottomcase) const
{
// output the title info if needed
if(frame)
{
out << "NEW FRAME\n";
out << "SET FONT DUPLEX\n";
out << "TITLE TOP \"" << title << "\"\n";
out << "CASE \"" << titlecase << "\"\n";
out << "TITLE LEFT \"" << left << "\"\n";
out << "CASE \"" << leftcase << "\"\n";
out << "TITLE BOTTOM \"" << bottom << "\"\n";
out << "CASE \"" << bottomcase << "\"\n";
if (errorbars) out << "SET ORDER X Y DX DY \n";
else out << "SET ORDER X Y DX\n";
}
// scales
if(xlog) out << "SET SCALE X LOG " << endl;
if(ylog) out << "SET SCALE Y LOG " << endl;
// set the x limits
const unsigned int lastDataBinIndx = _bins.size()-2;
out << "SET LIMITS X " << _bins[1].limit << " "
<< _bins[lastDataBinIndx+1].limit << endl;
// work out the y points
vector<double> yout;
double ymax=-1e100,ymin=1e100;
unsigned int numPoints = _globalStats.numberOfPoints();
if (numPoints == 0) ++numPoints;
for(unsigned int ix=1; ix<=lastDataBinIndx; ++ix)
{
double delta = 0.5*(_bins[ix+1].limit-_bins[ix].limit);
double value = 0.5*_prefactor*_bins[ix].contents / (delta*numPoints);
yout.push_back(value);
ymax=max(ymax, max(value, _bins[ix].data+_bins[ix].dataerror) );
if(yout.back()>0.) ymin=min(ymin,value);
if(_bins[ix].data>0) ymin=min(ymin,_bins[ix].data);
}
out << "SET LIMITS Y " << (ylog ? ymin:0. ) << " " << ymax << endl;
// the histogram from the event generator
for(unsigned int ix=1; ix<=lastDataBinIndx; ++ix)
{
double delta = 0.5*(_bins[ix+1].limit-_bins[ix].limit);
out << _bins[ix].limit+delta << '\t' << yout[ix-1] << '\t' << delta;
if (errorbars) {
out << '\t' << 0.5*sqrt(_bins[ix].contentsSq)/(delta*numPoints);
}
out << '\n';
}
out << "HIST " << colour << endl;
if (_havedata) {
// the real experimental data
for(unsigned int ix=1; ix<=lastDataBinIndx; ++ix)
{
double delta = 0.5*(_bins[ix+1].limit-_bins[ix].limit);
out << _bins[ix].limit+delta << '\t' << _bins[ix].data << '\t' << delta;
if (errorbars) {
out << '\t' << _bins[ix].dataerror;
}
out << '\n';
}
out << "PLOT " << endl;
}
}
void Histogram::normaliseToData()
{
double numer(0.),denom(0.);
unsigned int numPoints = _globalStats.numberOfPoints();
for(unsigned int ix=1;ix<_bins.size()-1;++ix)
{
double delta = 0.5*(_bins[ix+1].limit-_bins[ix].limit);
double value = 0.5*_bins[ix].contents / (delta*numPoints);
if(_bins[ix].dataerror>0.)
{
double var = sqr(_bins[ix].dataerror);
numer += _bins[ix].data * value/var;
denom += sqr(value)/var;
}
}
_prefactor = numer/denom;
}
void Histogram::chiSquared(double & chisq,
unsigned int & ndegrees, double minfrac) const
{
chisq =0.;
ndegrees=_bins.size()-2;
unsigned int numPoints = _globalStats.numberOfPoints();
for(unsigned int ix=1;ix<_bins.size()-1;++ix)
{
double delta = 0.5*(_bins[ix+1].limit-_bins[ix].limit);
double value = 0.5*_prefactor*_bins[ix].contents / (delta*numPoints);
double error = _bins[ix].dataerror;
if(error>0.)
{
if(error/_bins[ix].data < minfrac)
error = minfrac*_bins[ix].data;
double var=sqr(error)
+ _bins[ix].contentsSq * sqr(0.5*_prefactor / (delta*numPoints));
chisq += sqr(_bins[ix].data - value) / var;
}
}
}

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