The Gaudi Framework  v30r3 (a5ef0a68)
H3D.cpp
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1 #ifdef __ICC
2 // disable icc remark #2259: non-pointer conversion from "X" to "Y" may lose significant bits
3 // TODO: To be removed, since it comes from ROOT TMathBase.h
4 #pragma warning( disable : 2259 )
5 #endif
6 #ifdef WIN32
7 // Disable warning
8 // warning C4996: 'sprintf': This function or variable may be unsafe.
9 // coming from TString.h
10 #pragma warning( disable : 4996 )
11 #endif
12 
14 #include <GaudiCommonSvc/H3D.h>
16 #include <GaudiKernel/DataObject.h>
18 
19 #include "GaudiPI.h"
20 #include "TH3D.h"
21 
22 namespace Gaudi
23 {
24  template <>
26  {
27  TH3D* imp = dynamic_cast<TH3D*>( rep );
28  if ( !imp ) throw std::runtime_error( "Cannot adopt native histogram representation." );
29  m_rep.reset( imp );
30  m_xAxis.initialize( m_rep->GetXaxis(), true );
31  m_yAxis.initialize( m_rep->GetYaxis(), true );
32  m_zAxis.initialize( m_rep->GetZaxis(), true );
33  const TArrayD* a = m_rep->GetSumw2();
34  if ( !a || ( a && a->GetSize() == 0 ) ) m_rep->Sumw2();
35  setTitle( m_rep->GetTitle() );
36  }
37 }
38 
40 std::pair<DataObject*, AIDA::IHistogram3D*> Gaudi::createH3D( const std::string& title, int nBinsX, double xlow,
41  double xup, int nBinsY, double ylow, double yup,
42  int nBinsZ, double zlow, double zup )
43 {
44  auto p = new Histogram3D(
45  new TH3D( title.c_str(), title.c_str(), nBinsX, xlow, xup, nBinsY, ylow, yup, nBinsZ, zlow, zup ) );
46  return {p, p};
47 }
48 
51  const Edges& eY, const Edges& eZ )
52 {
53  auto p = new Histogram3D( new TH3D( title.c_str(), title.c_str(), eX.size() - 1, &eX.front(), eY.size() - 1,
54  &eY.front(), eZ.size() - 1, &eZ.front() ) );
55  return {p, p};
56 }
57 
58 std::pair<DataObject*, AIDA::IHistogram3D*> Gaudi::createH3D( const AIDA::IHistogram3D& hist )
59 {
60  TH3D* h = getRepresentation<AIDA::IHistogram3D, TH3D>( hist );
61  Histogram3D* n = h ? new Histogram3D( new TH3D( *h ) ) : nullptr;
62  return {n, n};
63 }
64 
66 {
67  setTitle( "" );
68  m_rep->Sumw2();
69  m_sumwx = 0;
70  m_sumwy = 0;
71  m_sumwz = 0;
72  m_rep->SetDirectory( nullptr );
73 }
74 
76 {
77  adoptRepresentation( rep );
78  m_sumwx = 0;
79  m_sumwy = 0;
80  m_sumwz = 0;
81  m_rep->SetDirectory( nullptr );
82 }
83 
84 // set bin content (entries and centre are not used )
85 bool Gaudi::Histogram3D::setBinContents( int i, int j, int k, int entries, double height, double error, double centreX,
86  double centreY, double centreZ )
87 {
88  m_rep->SetBinContent( rIndexX( i ), rIndexY( j ), rIndexZ( k ), height );
89  m_rep->SetBinError( rIndexX( i ), rIndexY( j ), rIndexZ( k ), error );
90  // accumulate sum bin centers
91  if ( i >= 0 && j >= 0 && k >= 0 ) {
92  m_sumwx += centreX * height;
93  m_sumwy += centreY * height;
94  m_sumwz += centreZ * height;
95  }
97  return true;
98 }
99 
101 {
102  m_sumwx = 0;
103  m_sumwy = 0;
104  m_sumwz = 0;
105  m_sumEntries = 0;
106  m_rep->Reset();
107  return true;
108 }
109 
110 bool Gaudi::Histogram3D::fill( double x, double y, double z, double weight )
111 {
112  m_rep->Fill( x, y, z, weight );
113  return true;
114 }
115 
116 void* Gaudi::Histogram3D::cast( const std::string& className ) const
117 {
118  if ( className == "AIDA::IHistogram3D" ) {
119  return (AIDA::IHistogram3D*)this;
120  } else if ( className == "AIDA::IHistogram" ) {
121  return (AIDA::IHistogram*)this;
122  }
123  return nullptr;
124 }
125 
126 #ifdef __ICC
127 // disable icc remark #1572: floating-point equality and inequality comparisons are unreliable
128 // The comparison are meant
129 #pragma warning( push )
130 #pragma warning( disable : 1572 )
131 #endif
132 bool Gaudi::Histogram3D::setRms( double rmsX, double rmsY, double rmsZ )
133 {
134  m_rep->SetEntries( m_sumEntries );
135  std::vector<double> stat( 11 );
136  // sum weights
137  stat[0] = sumBinHeights();
138  stat[1] = 0;
139  if ( equivalentBinEntries() != 0 ) stat[1] = ( sumBinHeights() * sumBinHeights() ) / equivalentBinEntries();
140  stat[2] = m_sumwx;
141  double meanX = 0;
142  if ( sumBinHeights() != 0 ) meanX = m_sumwx / sumBinHeights();
143  stat[3] = ( meanX * meanX + rmsX * rmsX ) * sumBinHeights();
144  stat[4] = m_sumwy;
145  double meanY = 0;
146  if ( sumBinHeights() != 0 ) meanY = m_sumwy / sumBinHeights();
147  stat[5] = ( meanY * meanY + rmsY * rmsY ) * sumBinHeights();
148  stat[6] = 0;
149  stat[7] = m_sumwz;
150  double meanZ = 0;
151  if ( sumBinHeights() != 0 ) meanZ = m_sumwz / sumBinHeights();
152  stat[8] = ( meanZ * meanZ + rmsZ * rmsZ ) * sumBinHeights();
153  // do not need to use sumwxy sumwxz and sumwyz
154 
155  m_rep->PutStats( &stat.front() );
156  return true;
157 }
158 
159 void Gaudi::Histogram3D::copyFromAida( const AIDA::IHistogram3D& h )
160 {
161  // implement here the copy
162  const char* tit = h.title().c_str();
163  if ( h.xAxis().isFixedBinning() && h.yAxis().isFixedBinning() && h.zAxis().isFixedBinning() ) {
164  m_rep.reset( new TH3D( tit, tit, h.xAxis().bins(), h.xAxis().lowerEdge(), h.xAxis().upperEdge(), h.yAxis().bins(),
165  h.yAxis().lowerEdge(), h.yAxis().upperEdge(), h.zAxis().bins(), h.zAxis().lowerEdge(),
166  h.zAxis().upperEdge() ) );
167  } else {
168  Edges eX, eY, eZ;
169  for ( int i = 0; i < h.xAxis().bins(); ++i ) eX.push_back( h.xAxis().binLowerEdge( i ) );
170  // add also upperedges at the end
171  eX.push_back( h.xAxis().upperEdge() );
172  for ( int i = 0; i < h.yAxis().bins(); ++i ) eY.push_back( h.yAxis().binLowerEdge( i ) );
173  // add also upperedges at the end
174  eY.push_back( h.yAxis().upperEdge() );
175  for ( int i = 0; i < h.zAxis().bins(); ++i ) eZ.push_back( h.zAxis().binLowerEdge( i ) );
176  // add also upperedges at the end
177  eZ.push_back( h.zAxis().upperEdge() );
178  m_rep.reset(
179  new TH3D( tit, tit, eX.size() - 1, &eX.front(), eY.size() - 1, &eY.front(), eZ.size() - 1, &eZ.front() ) );
180  }
181  m_xAxis.initialize( m_rep->GetXaxis(), true );
182  m_yAxis.initialize( m_rep->GetYaxis(), true );
183  m_zAxis.initialize( m_rep->GetZaxis(), true );
184  const TArrayD* a = m_rep->GetSumw2();
185  if ( !a || ( a && a->GetSize() == 0 ) ) m_rep->Sumw2();
186  m_sumEntries = 0;
187  m_sumwx = 0;
188  m_sumwy = 0;
189  m_sumwz = 0;
190 
191  // statistics
192  double sumw = h.sumBinHeights();
193  double sumw2 = 0;
194  if ( h.equivalentBinEntries() != 0 ) sumw2 = ( sumw * sumw ) / h.equivalentBinEntries();
195  double sumwx = h.meanX() * h.sumBinHeights();
196  double sumwx2 = ( h.meanX() * h.meanX() + h.rmsX() * h.rmsX() ) * h.sumBinHeights();
197  double sumwy = h.meanY() * h.sumBinHeights();
198  double sumwy2 = ( h.meanY() * h.meanY() + h.rmsY() * h.rmsY() ) * h.sumBinHeights();
199  double sumwz = h.meanZ() * h.sumBinHeights();
200  double sumwz2 = ( h.meanZ() * h.meanZ() + h.rmsZ() * h.rmsZ() ) * h.sumBinHeights();
201  double sumwxy = 0;
202  double sumwxz = 0;
203  double sumwyz = 0;
204 
205  // copy the contents in (AIDA underflow/overflow are -2,-1)
206  for ( int i = -2; i < xAxis().bins(); ++i ) {
207  for ( int j = -2; j < yAxis().bins(); ++j ) {
208  for ( int k = -2; k < zAxis().bins(); ++k ) {
209  m_rep->SetBinContent( rIndexX( i ), rIndexY( j ), rIndexZ( k ), h.binHeight( i, j, k ) );
210  m_rep->SetBinError( rIndexX( i ), rIndexY( j ), rIndexZ( k ), h.binError( i, j, k ) );
211  // calculate statistics
212  if ( i >= 0 && j >= 0 && k >= 0 ) {
213  sumwxy += h.binHeight( i, j, k ) * h.binMeanX( i, j, k ) * h.binMeanY( i, j, k );
214  sumwxz += h.binHeight( i, j, k ) * h.binMeanX( i, j, k ) * h.binMeanZ( i, j, k );
215  sumwyz += h.binHeight( i, j, k ) * h.binMeanY( i, j, k ) * h.binMeanZ( i, j, k );
216  }
217  }
218  }
219  }
220  // need to do set entries after setting contents otherwise root will recalulate them
221  // taking into account how many time SetBinContents() has been called
222  m_rep->SetEntries( h.allEntries() );
223 
224  // fill stat vector
225  std::vector<double> stat( 11 );
226  stat[0] = sumw;
227  stat[1] = sumw2;
228  stat[2] = sumwx;
229  stat[3] = sumwx2;
230  stat[4] = sumwy;
231  stat[5] = sumwy2;
232  stat[6] = sumwxy;
233  stat[7] = sumwz;
234  stat[8] = sumwz2;
235  stat[9] = sumwxz;
236  stat[10] = sumwyz;
237  m_rep->PutStats( &stat.front() );
238 }
239 
240 #ifdef __ICC
241 // re-enable icc remark #1572
242 #pragma warning( pop )
243 #endif
int rIndexZ(int index) const
Definition: Generic3D.h:85
int rIndexX(int index) const
Definition: Generic3D.h:83
Gaudi::Axis m_xAxis
Definition: Generic3D.h:229
double meanZ() const override
The mean of the IHistogram3D along the z axis.
Definition: Generic3D.h:176
Gaudi::Axis m_yAxis
Definition: Generic3D.h:230
int entries() const override
Get the number or all the entries.
Definition: Generic3D.h:259
T front(T...args)
const AIDA::IAxis & yAxis() const override
Get the y axis of the IHistogram3D.
Definition: Generic3D.h:186
std::vector< double > Edges
Definition: GaudiPI.h:18
const AIDA::IAxis & zAxis() const override
Get the z axis of the IHistogram3D.
Definition: Generic3D.h:188
double m_sumwx
Definition: H3D.h:45
double rmsZ() const override
The RMS of the IHistogram3D along the z axis.
Definition: Generic3D.h:182
STL class.
double m_sumwy
Definition: H3D.h:46
T push_back(T...args)
virtual bool setBinContents(int i, int j, int k, int entries, double height, double error, double centreX, double centreY, double centreZ)
Fast filling method for a given bin. It can be also the over/underflow bin.
Definition: H3D.cpp:85
std::pair< DataObject *, AIDA::IHistogram3D * > createH3D(const AIDA::IHistogram3D &hist)
Copy constructor.
Histogram3D()
Standard Constructor.
Definition: H3D.cpp:65
AIDA implementation for 3 D histograms using ROOT THD2.
Definition: H3D.h:18
double sumBinHeights() const override
Get the sum of in range bin heights in the IProfile.
Definition: Generic3D.h:283
T reset(T...args)
Gaudi::Axis m_zAxis
Definition: Generic3D.h:231
bool setTitle(const std::string &title) override
Set the title of the object.
Definition: Generic3D.h:243
bool fill(double x, double y, double z, double weight) override
Fill bin content.
Definition: H3D.cpp:110
int rIndexY(int index) const
Definition: Generic3D.h:84
void copyFromAida(const AIDA::IHistogram3D &h)
Create new histogram from any AIDA based histogram.
Definition: H3D.cpp:159
std::unique_ptr< IMPLEMENTATION > m_rep
Reference to underlying implementation.
Definition: Generic3D.h:235
void initialize(TAxis *itaxi, bool)
Definition: Axis.h:67
T c_str(T...args)
const AIDA::IAxis & xAxis() const override
Get the x axis of the IHistogram3D.
Definition: Generic3D.h:184
virtual bool setRms(double rmsX, double rmsY, double rmsZ)
Sets the rms of the histogram.
Definition: H3D.cpp:132
double rmsY() const override
The RMS of the IHistogram3D along the y axis.
Definition: Generic3D.h:180
void adoptRepresentation(TObject *rep) override
Adopt ROOT histogram representation.
double rmsX() const override
The RMS of the IHistogram3D along the x axis.
Definition: Generic3D.h:178
double meanY() const override
The mean of the IHistogram3D along the y axis.
Definition: Generic3D.h:174
void * cast(const std::string &className) const override
Introspection method.
Definition: H3D.cpp:116
double equivalentBinEntries() const override
Number of equivalent entries, i.e. SUM[ weight ] ^ 2 / SUM[ weight^2 ]
Definition: Generic3D.h:295
bool reset() override
Definition: H3D.cpp:100
Helper functions to set/get the application return code.
Definition: __init__.py:1
double meanX() const override
The mean of the IHistogram3D along the x axis.
Definition: Generic3D.h:171
double m_sumwz
Definition: H3D.h:47
Common AIDA implementation stuff for histograms and profiles using ROOT implementations.
Definition: Generic3D.h:36