Collections/EffCollection/EffCollection.cpp

/*
 * EffCollection.cpp
 *
 *  Created on: 10/ago/2009
 *      Author: Nicola Mori
 */

/*! @file EffCollection.cpp The EffCollection class implementation file. */

#include "EffCollection.h"
#include "TGraphAsymmErrors.h"

extern "C" {
/*! @brief Fortran routine by Sergio Ricciarini which computes errors on the efficiency.
 *
 * This routine has been developed to carefully evaluate the error bars on the efficiency,
 * which must have a value between 0 and 1. See the appendix of Sergio's PhD thesis for more
 * details.
 * The important thing is that the computed efficiency will have the unphysical value 1.1
 * if there are less than 8 events in the efficiency sample (eg., the sample used to compute the
 * efficiency). This is necessary to have a reliable estimate of the errors.
 *
 * @param sel Pointer to an Int_t variable containing the number of events in the efficiency sample.
 * @param det Pointer to an Int_t variable containing the number of events in the efficiency sample
 *            which satisfied the set of cuts  for which the efficiency is being measured.
 * @param eff Pointer to a Double_t variable where the computed efficiency will be returned.
 * @param errLow Pointer to a Double_t variable where the length of the lower error bar will
 *               be returned.
 * @param errHigh Pointer to a Double_t variable where the length of the upper error bar will
 *               be returned.
 * @return Not clear at this point... ignore it.
 */
bool efficiency_(Int_t* sel, Int_t* det, Double_t* eff, Double_t* errLow, Double_t* errHigh);
}

EffCollection::EffCollection(const char *collectionName, TString outFileBase, int errMethod, bool owns) :
  VerboseCollection(collectionName, false), _selCollection("selCollection",owns), _detCollection("detCollection",
      owns), _outFileBase(outFileBase), _errMethod(errMethod), _det(0), _sel(0) {

}

void EffCollection::AddDetectorCut(PamCut *cut) {
  _detCollection.AddCut(cut);
}

void EffCollection::AddSelectionCut(PamCut *cut) {
  _selCollection.AddCut(cut);
}

void EffCollection::AddDetectorAction(CollectionAction *action) {
  _detCollection.AddAction(action);
}

void EffCollection::AddSelectionAction(CollectionAction *action) {
  _selCollection.AddAction(action);
}

void EffCollection::Setup(PamLevel2 *events){
  // Base class have a single vector for cuts and another for actions. Here the cuts and actions
  // are not contained inside these vectors but rather inside two SmartCollection object members.
  // So we must call their Setup().
  _selCollection.Setup(events);
  _detCollection.Setup(events);

  // We call also base class' Setup(), which will likely do nothing since _sel and _det are empty.
  VerboseCollection::Setup(events);

}

int EffCollection::ApplyCut(PamLevel2 *event) {

  _nEv++;
  if (_selCollection.ApplyCut(event) == CUTOK) {
    _sel++;
    if (_detCollection.ApplyCut(event) == CUTOK) {
      _det++;
      _nGood++;
      return CUTOK;
    }
  }

  return 0;
}

void EffCollection::Finalize() {
  // Let's add all the cuts to the vector of the collection before calling VerboseCollection::Finalize
  for (unsigned int i = 0; i < _selCollection.GetSize(); i++)
    _cuts.push_back(_selCollection.GetCut(i));
  for (unsigned int i = 0; i < _selCollection.GetActionsSize(); i++)
  _actions.push_back(_selCollection.GetAction(i));
  for (unsigned int i = 0; i < _detCollection.GetSize(); i++)
    _cuts.push_back(_detCollection.GetCut(i));
  for (unsigned int i = 0; i < _detCollection.GetActionsSize(); i++)
    _actions.push_back(_detCollection.GetAction(i));

  // Now all the cuts and actions are in place, and VerboseCollection can print its report and call Finalize() for
  // every cut and action (calling SmartCollection::Finalize().
  VerboseCollection::Finalize();

  // Compute the error
  Int_t sel = (Int_t) _sel;
  Int_t det = (Int_t) _det;
  Double_t eff, errLow, errHigh;
  if (_errMethod == EFFERR_ROOT) {
    if (sel < 8) {
      eff = 1.1;
      errLow = errHigh = 0.;
    }
    else {
      TH1I pass("pass", "pass", 1, 0., 1.);
      TH1I total("total", "total", 1, 0., 1.);
      pass.Fill(0.5, det);
      total.Fill(0.5, sel);
      TGraphAsymmErrors errGraph;
      errGraph.BayesDivide(&pass, &total);
      Double_t dummy;
      errGraph.GetPoint(0, dummy, eff);
      errLow = errGraph.GetErrorYlow(0);
      errHigh = errGraph.GetErrorYhigh(0);
    }
  }
  if (_errMethod == EFFERR_SERGIO) {
    efficiency_(&sel, &det, &eff, &errLow, &errHigh);
  }

  // Add some info about efficiency to the stdout
  cout << "    ****** Efficiency informations ******\n";
  cout << "    Detector cuts:\n";
  for (unsigned int i = 0; i < _detCollection.GetSize(); i++)
    cout << "      - " << _detCollection.GetCut(i)->GetName() << "\n";
  cout << "    Total detector efficiency: " << eff << " +" << errHigh << "-" << errLow << endl;

  // Write the output file
  if (_outFileBase != "") {

    ofstream outTextFile((_outFileBase + "-" + GetName() + ".txt").Data(), ios_base::out);
    streamsize newPrec = 4;
    outTextFile.precision(newPrec);
    outTextFile.setf(ios::fixed, ios::floatfield);
    outTextFile << setw(10) << det << setw(10) << sel << setw(10) << eff << setw(10) << errLow << setw(10) << errHigh
        << endl;
    outTextFile.close();
  }

}
1	/*
2	* EffCollection.cpp
3	*
4	* Created on: 10/ago/2009
5	* Author: Nicola Mori
6	*/
7
8	/! @file EffCollection.cpp The EffCollection class implementation file. /
9
10	#include "EffCollection.h"
11	#include "TGraphAsymmErrors.h"
12
13	extern "C" {
14	/*! @brief Fortran routine by Sergio Ricciarini which computes errors on the efficiency.
15	*
16	* This routine has been developed to carefully evaluate the error bars on the efficiency,
17	* which must have a value between 0 and 1. See the appendix of Sergio's PhD thesis for more
18	* details.
19	* The important thing is that the computed efficiency will have the unphysical value 1.1
20	* if there are less than 8 events in the efficiency sample (eg., the sample used to compute the
21	* efficiency). This is necessary to have a reliable estimate of the errors.
22	*
23	* @param sel Pointer to an Int_t variable containing the number of events in the efficiency sample.
24	* @param det Pointer to an Int_t variable containing the number of events in the efficiency sample
25	* which satisfied the set of cuts for which the efficiency is being measured.
26	* @param eff Pointer to a Double_t variable where the computed efficiency will be returned.
27	* @param errLow Pointer to a Double_t variable where the length of the lower error bar will
28	* be returned.
29	* @param errHigh Pointer to a Double_t variable where the length of the upper error bar will
30	* be returned.
31	* @return Not clear at this point... ignore it.
32	*/
33	bool efficiency_(Int_t* sel, Int_t* det, Double_t* eff, Double_t* errLow, Double_t* errHigh);
34	}
35
36	EffCollection::EffCollection(const char *collectionName, TString outFileBase, int errMethod, bool owns) :
37	VerboseCollection(collectionName, false), _selCollection("selCollection",owns), _detCollection("detCollection",
38	owns), _outFileBase(outFileBase), _errMethod(errMethod), _det(0), _sel(0) {
39
40	}
41
42	void EffCollection::AddDetectorCut(PamCut *cut) {
43	_detCollection.AddCut(cut);
44	}
45
46	void EffCollection::AddSelectionCut(PamCut *cut) {
47	_selCollection.AddCut(cut);
48	}
49
50	void EffCollection::AddDetectorAction(CollectionAction *action) {
51	_detCollection.AddAction(action);
52	}
53
54	void EffCollection::AddSelectionAction(CollectionAction *action) {
55	_selCollection.AddAction(action);
56	}
57
58	void EffCollection::Setup(PamLevel2 *events){
59	// Base class have a single vector for cuts and another for actions. Here the cuts and actions
60	// are not contained inside these vectors but rather inside two SmartCollection object members.
61	// So we must call their Setup().
62	_selCollection.Setup(events);
63	_detCollection.Setup(events);
64
65	// We call also base class' Setup(), which will likely do nothing since _sel and _det are empty.
66	VerboseCollection::Setup(events);
67
68	}
69
70	int EffCollection::ApplyCut(PamLevel2 *event) {
71
72	_nEv++;
73	if (_selCollection.ApplyCut(event) == CUTOK) {
74	_sel++;
75	if (_detCollection.ApplyCut(event) == CUTOK) {
76	_det++;
77	_nGood++;
78	return CUTOK;
79	}
80	}
81
82	return 0;
83	}
84
85	void EffCollection::Finalize() {
86	// Let's add all the cuts to the vector of the collection before calling VerboseCollection::Finalize
87	for (unsigned int i = 0; i < _selCollection.GetSize(); i++)
88	_cuts.push_back(_selCollection.GetCut(i));
89	for (unsigned int i = 0; i < _selCollection.GetActionsSize(); i++)
90	_actions.push_back(_selCollection.GetAction(i));
91	for (unsigned int i = 0; i < _detCollection.GetSize(); i++)
92	_cuts.push_back(_detCollection.GetCut(i));
93	for (unsigned int i = 0; i < _detCollection.GetActionsSize(); i++)
94	_actions.push_back(_detCollection.GetAction(i));
95
96	// Now all the cuts and actions are in place, and VerboseCollection can print its report and call Finalize() for
97	// every cut and action (calling SmartCollection::Finalize().
98	VerboseCollection::Finalize();
99
100	// Compute the error
101	Int_t sel = (Int_t) _sel;
102	Int_t det = (Int_t) _det;
103	Double_t eff, errLow, errHigh;
104	if (_errMethod == EFFERR_ROOT) {
105	if (sel < 8) {
106	eff = 1.1;
107	errLow = errHigh = 0.;
108	}
109	else {
110	TH1I pass("pass", "pass", 1, 0., 1.);
111	TH1I total("total", "total", 1, 0., 1.);
112	pass.Fill(0.5, det);
113	total.Fill(0.5, sel);
114	TGraphAsymmErrors errGraph;
115	errGraph.BayesDivide(&pass, &total);
116	Double_t dummy;
117	errGraph.GetPoint(0, dummy, eff);
118	errLow = errGraph.GetErrorYlow(0);
119	errHigh = errGraph.GetErrorYhigh(0);
120	}
121	}
122	if (_errMethod == EFFERR_SERGIO) {
123	efficiency_(&sel, &det, &eff, &errLow, &errHigh);
124	}
125
126	// Add some info about efficiency to the stdout
127	cout << " **** Efficiency informations ****\n";
128	cout << " Detector cuts:\n";
129	for (unsigned int i = 0; i < _detCollection.GetSize(); i++)
130	cout << " - " << _detCollection.GetCut(i)->GetName() << "\n";
131	cout << " Total detector efficiency: " << eff << " +" << errHigh << "-" << errLow << endl;
132
133	// Write the output file
134	if (_outFileBase != "") {
135
136	ofstream outTextFile((_outFileBase + "-" + GetName() + ".txt").Data(), ios_base::out);
137	streamsize newPrec = 4;
138	outTextFile.precision(newPrec);
139	outTextFile.setf(ios::fixed, ios::floatfield);
140	outTextFile << setw(10) << det << setw(10) << sel << setw(10) << eff << setw(10) << errLow << setw(10) << errHigh
141	<< endl;
142	outTextFile.close();
143	}
144
145	}