Gaudi Framework, version v23r0 |
Home | Generated: Mon Jan 30 2012 |
AIDA implementation for 1 D histograms using ROOT THD1. More...
#include <H1D.h>
Public Member Functions | |
Histogram1D () | |
Standard constructor. | |
Histogram1D (TH1D *rep) | |
Standard constructor with initialization. The histogram representation will be adopted. | |
virtual | ~Histogram1D () |
Destructor. | |
virtual void | adoptRepresentation (TObject *rep) |
Adopt ROOT histogram representation. | |
virtual bool | setBinContents (int i, int entries, double height, double error, double centre) |
set bin content (entries and centre are not used ) | |
virtual bool | reset () |
need to overwrite reset to reset the sums | |
virtual bool | setStatistics (int allEntries, double eqBinEntries, double mean, double rms) |
set histogram statistics | |
virtual bool | fill (double x, double weight) |
Fill the Profile1D with a value and the corresponding weight. | |
bool | setRms (double rms) |
Update histogram RMS. | |
void | copyFromAida (const AIDA::IHistogram1D &h) |
Create new histogram from any AIDA based histogram. | |
virtual const CLID & | clID () const |
Retrieve reference to class defininition identifier. | |
StreamBuffer & | serialize (StreamBuffer &s) |
Serialization mechanism, Serialize the object for reading. | |
StreamBuffer & | serialize (StreamBuffer &s) const |
Serialization mechanism, Serialize the object for writing. | |
Static Public Member Functions | |
static const CLID & | classID () |
Retrieve reference to class definition structure (static access) | |
Protected Attributes | |
double | m_sumwx |
cache sumwx when setting contents since I don't have bin mean | |
Private Member Functions | |
void | init (const std::string &title, bool initialize_axis=true) |
void | initSums () |
AIDA implementation for 1 D histograms using ROOT THD1.
Definition at line 17 of file H1D.h.
Gaudi::Histogram1D::Histogram1D | ( | ) |
Gaudi::Histogram1D::Histogram1D | ( | TH1D * | rep ) |
virtual Gaudi::Histogram1D::~Histogram1D | ( | ) | [inline, virtual] |
void Gaudi::Histogram1D::adoptRepresentation | ( | TObject * | rep ) | [virtual] |
static const CLID& Gaudi::Histogram1D::classID | ( | ) | [inline, static] |
Retrieve reference to class definition structure (static access)
Retrieve Pointer to class definition structure.
Reimplemented from DataObject.
Definition at line 47 of file H1D.h.
{ return CLID_H1D; }
virtual const CLID& Gaudi::Histogram1D::clID | ( | ) | const [inline, virtual] |
Retrieve reference to class defininition identifier.
Reimplemented from DataObject.
Definition at line 46 of file H1D.h.
{ return classID(); }
void Gaudi::Histogram1D::copyFromAida | ( | const AIDA::IHistogram1D & | h ) |
Create new histogram from any AIDA based histogram.
Definition at line 164 of file H1D.cpp.
{ // implement here the copy std::string tit = h.title()+"Copy"; delete m_rep; if (h.axis().isFixedBinning() ) { m_rep = new TH1D(tit.c_str(),tit.c_str(),h.axis().bins(),h.axis().lowerEdge(),h.axis().upperEdge()); } else { Edges e; for (int i =0; i < h.axis().bins(); ++i) { e.push_back(h.axis().binLowerEdge(i)); } // add also upperedges at the end e.push_back(h.axis().upperEdge() ); m_rep = new TH1D(tit.c_str(),tit.c_str(),e.size()-1,&e.front()); } m_axis.initialize(m_rep->GetXaxis(),false); m_rep->Sumw2(); m_sumEntries = 0; m_sumwx = 0; // sumw double sumw = h.sumBinHeights(); // sumw2 double sumw2 = 0; if (h.equivalentBinEntries() != 0) sumw2 = ( sumw * sumw ) /h.equivalentBinEntries(); double sumwx = h.mean()*h.sumBinHeights(); double sumwx2 = (h.mean()*h.mean() + h.rms()*h.rms() )*h.sumBinHeights(); // copy the contents in for (int i=-2; i < axis().bins(); ++i) { // root binning starts from one ! m_rep->SetBinContent(rIndex(i),h.binHeight(i) ); m_rep->SetBinError(rIndex(i),h.binError(i) ); } // need to do set entries after setting contents otherwise root will recalulate them // taking into account how many time SetBinContents() has been called m_rep->SetEntries(h.allEntries()); // stat vector std::vector<double> stat(11); stat[0] = sumw; stat[1] = sumw2; stat[2] = sumwx; stat[3] = sumwx2; m_rep->PutStats(&stat.front()); }
bool Gaudi::Histogram1D::fill | ( | double | x, |
double | weight | ||
) | [virtual] |
void Gaudi::Histogram1D::init | ( | const std::string & | title, |
bool | initialize_axis = true |
||
) | [private] |
Definition at line 71 of file H1D.cpp.
{ m_classType = "IHistogram1D"; if ( initialize_axis ) { m_axis.initialize(m_rep->GetXaxis(),false); } const TArrayD* a = m_rep->GetSumw2(); if ( 0 == a || (a && a->GetSize()==0) ) m_rep->Sumw2(); setTitle(title); m_rep->SetDirectory(0); m_sumEntries = 0; m_sumwx = 0; }
void Gaudi::Histogram1D::initSums | ( | ) | [private] |
bool Gaudi::Histogram1D::reset | ( | ) | [virtual] |
need to overwrite reset to reset the sums
Reimplemented from Gaudi::Generic1D< INTERFACE, IMPLEMENTATION >.
Definition at line 93 of file H1D.cpp.
{ m_sumwx = 0; m_sumEntries = 0; return Base::reset(); }
StreamBuffer & Gaudi::Histogram1D::serialize | ( | StreamBuffer & | s ) | const |
Serialization mechanism, Serialize the object for writing.
s | the StreamBuffer where to write the data |
Definition at line 264 of file H1D.cpp.
{ //DataObject::serialize(s); s << static_cast<int>( annotation().size() ); for (int i = 0; i < annotation().size(); i++) { s << annotation().key(i); s << annotation().value(i); } const AIDA::IAxis & axis( this->axis() ); const int isFixedBinning = axis.isFixedBinning(); const int bins = axis.bins(); s << isFixedBinning << bins; if ( isFixedBinning ) { s << axis.lowerEdge(); } else { for ( int i = 0; i < bins; ++i ) s << axis.binLowerEdge(i); } s << axis.upperEdge(); for ( int i = 0; i <= bins + 1; ++i ) s << m_rep->GetBinContent(i) << m_rep->GetBinError( i ); s << m_rep->GetEntries(); Stat_t stats[4]; // stats array m_rep->GetStats( stats ); s << stats[0] << stats[1] << stats[2] << stats[3]; return s; }
StreamBuffer & Gaudi::Histogram1D::serialize | ( | StreamBuffer & | s ) |
Serialization mechanism, Serialize the object for reading.
s | the StreamBuffer containing the data to be read |
Definition at line 217 of file H1D.cpp.
{ //DataObject::serialize(s); std::string title; int size; s >> size; for (int j = 0; j < size; j++) { std::string key, value; s >> key >> value; annotation().addItem (key, value); if ("Title" == key) { title = value; } } double lowerEdge, upperEdge, binHeight, binError; int isFixedBinning, bins; s >> isFixedBinning >> bins; if ( m_rep ) delete m_rep; if ( isFixedBinning ) { s >> lowerEdge >> upperEdge; m_rep = new TH1D(title.c_str(),title.c_str(),bins,lowerEdge,upperEdge); } else { Edges edges; edges.resize(bins); for ( int i = 0; i <= bins; ++i ) s >> *(double*)&edges[i]; m_rep = new TH1D(title.c_str(),title.c_str(),edges.size()-1,&edges.front()); } m_axis.initialize(m_rep->GetXaxis(),true); m_rep->Sumw2(); m_sumEntries = 0; m_sumwx = 0; for ( int i = 0; i <= bins + 1; ++i ) { s >> binHeight >> binError; m_rep->SetBinContent( i, binHeight ); m_rep->SetBinError( i, binError ); } Stat_t allEntries; s >> allEntries; m_rep->SetEntries( allEntries ); Stat_t stats[4]; // stats array s >> stats[0] >> stats[1] >> stats[2] >> stats[3]; m_rep->PutStats( stats ); return s; }
bool Gaudi::Histogram1D::setBinContents | ( | int | i, |
int | entries, | ||
double | height, | ||
double | error, | ||
double | centre | ||
) | [virtual] |
set bin content (entries and centre are not used )
bool Gaudi::Histogram1D::setRms | ( | double | rms ) |
Update histogram RMS.
Definition at line 124 of file H1D.cpp.
{ m_rep->SetEntries(m_sumEntries); std::vector<double> stat(11); // sum weights stat[0] = sumBinHeights(); stat[1] = 0; if (equivalentBinEntries() != 0) stat[1] = ( sumBinHeights() * sumBinHeights() ) / equivalentBinEntries(); stat[2] = m_sumwx; double mean = 0; if ( sumBinHeights() != 0 ) mean = m_sumwx/ sumBinHeights(); stat[3] = ( mean*mean + rms*rms )* sumBinHeights(); m_rep->PutStats(&stat.front()); return true; }
bool Gaudi::Histogram1D::setStatistics | ( | int | allEntries, |
double | eqBinEntries, | ||
double | mean, | ||
double | rms | ||
) | [virtual] |
set histogram statistics
Definition at line 141 of file H1D.cpp.
{ m_rep->SetEntries(allEntries); // fill statistcal vector for Root std::vector<double> stat(11); // sum weights stat[0] = sumBinHeights(); // sum weights **2 stat[1] = 0; if (eqBinEntries != 0) stat[1] = ( sumBinHeights() * sumBinHeights() ) / eqBinEntries; // sum weights * x stat[2] = mean*sumBinHeights(); // sum weight * x **2 stat[3] = ( mean*mean + rms*rms )* sumBinHeights(); m_rep->PutStats(&stat.front()); return true; }
double Gaudi::Histogram1D::m_sumwx [protected] |