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TagProbeFitTreeAnalyzer.cc
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8 
10 
11 using namespace edm;
12 
14  public:
17  virtual void analyze(const edm::Event& event, const edm::EventSetup& eventSetup) {};
18  virtual void endRun(const edm::Run &run, const edm::EventSetup &setup){};
19  void calculateEfficiency(string name, const edm::ParameterSet& pset);
20  private:
22 };
23 
25  fitter( pset.getParameter<vector<string> >("InputFileNames"),
26  pset.getParameter<string>("InputDirectoryName"),
27  pset.getParameter<string>("InputTreeName"),
28  pset.getParameter<string>("OutputFileName"),
29  pset.existsAs<unsigned int>("NumCPU")?pset.getParameter<unsigned int>("NumCPU"):1,
30  pset.existsAs<bool>("SaveWorkspace")?pset.getParameter<bool>("SaveWorkspace"):false,
31  pset.existsAs<bool>("floatShapeParameters")?pset.getParameter<bool>("floatShapeParameters"):true,
32  pset.existsAs<vector<string> >("fixVars")?pset.getParameter<vector<string> >("fixVars"):vector<string>()
33  )
34 {
35  fitter.setQuiet(pset.getUntrackedParameter("Quiet",false));
36 
37  if (pset.existsAs<bool>("binnedFit")) {
38  bool binned = pset.getParameter<bool>("binnedFit");
39  fitter.setBinnedFit(binned, binned ? pset.getParameter<uint32_t>("binsForFit") : 0);
40  } else if (pset.existsAs<uint32_t>("binsForMassPlots")) {
41  fitter.setBinsForMassPlots(pset.getParameter<uint32_t>("binsForMassPlots"));
42  }
43 
44  if (pset.existsAs<std::string>("WeightVariable")) {
45  fitter.setWeightVar(pset.getParameter<std::string>("WeightVariable"));
46  }
47  const ParameterSet variables = pset.getParameter<ParameterSet>("Variables");
48  vector<string> variableNames = variables.getParameterNamesForType<vector<string> >();
49  for (vector<string>::const_iterator name = variableNames.begin(); name != variableNames.end(); name++) {
50  vector<string> var = variables.getParameter<vector<string> >(*name);
51  double lo, hi;
52  if(var.size()>=4 && !(istringstream(var[1])>>lo).fail() && !(istringstream(var[2])>>hi).fail()){
53  fitter.addVariable(*name, var[0], lo, hi, var[3]);
54  }else{
55  LogError("TagProbeFitTreeAnalyzer")<<"Could not create variable: "<<*name<<
56  ". Example: pt = cms.vstring(\"Probe pT\", \"1.0\", \"100.0\", \"GeV/c\") ";
57  }
58  }
59 
60  const ParameterSet categories = pset.getParameter<ParameterSet>("Categories");
61  vector<string> categoryNames = categories.getParameterNamesForType<vector<string> >();
62  for (vector<string>::const_iterator name = categoryNames.begin(); name != categoryNames.end(); name++) {
63  vector<string> cat = categories.getParameter<vector<string> >(*name);
64  if(cat.size()==2){
65  fitter.addCategory(*name, cat[0], cat[1]);
66  }else{
67  LogError("TagProbeFitTreeAnalyzer")<<"Could not create category: "<<*name<<
68  ". Example: mcTrue = cms.vstring(\"MC True\", \"dummy[true=1,false=0]\") ";
69  }
70  }
71 
72  if (pset.existsAs<ParameterSet>("Expressions")) {
73  const ParameterSet exprs = pset.getParameter<ParameterSet>("Expressions");
74  vector<string> exprNames = exprs.getParameterNamesForType<vector<string> >();
75  for (vector<string>::const_iterator name = exprNames.begin(); name != exprNames.end(); name++) {
76  vector<string> expr = exprs.getParameter<vector<string> >(*name);
77  if(expr.size()>=2){
78  vector<string> args(expr.begin()+2,expr.end());
79  fitter.addExpression(*name, expr[0], expr[1], args);
80  }else{
81  LogError("TagProbeFitTreeAnalyzer")<<"Could not create expr: "<<*name<<
82  ". Example: qop = cms.vstring(\"qOverP\", \"charge/p\", \"charge\", \"p\") ";
83  }
84  }
85  }
86 
87 
88  if (pset.existsAs<ParameterSet>("Cuts")) {
89  const ParameterSet cuts = pset.getParameter<ParameterSet>("Cuts");
90  vector<string> cutNames = cuts.getParameterNamesForType<vector<string> >();
91  for (vector<string>::const_iterator name = cutNames.begin(); name != cutNames.end(); name++) {
92  vector<string> cat = cuts.getParameter<vector<string> >(*name);
93  if(cat.size()==3){
94  fitter.addThresholdCategory(*name, cat[0], cat[1], atof(cat[2].c_str()));
95  }else{
96  LogError("TagProbeFitTreeAnalyzer")<<"Could not create cut: "<<*name<<
97  ". Example: matched = cms.vstring(\"Matched\", \"deltaR\", \"0.5\") ";
98  }
99  }
100  }
101 
102  if(pset.existsAs<ParameterSet>("PDFs")){
103  const ParameterSet pdfs = pset.getParameter<ParameterSet>("PDFs");
104  vector<string> pdfNames = pdfs.getParameterNamesForType<vector<string> >();
105  for (vector<string>::const_iterator name = pdfNames.begin(); name != pdfNames.end(); name++) {
106  vector<string> pdf = pdfs.getParameter<vector<string> >(*name);
107  fitter.addPdf(*name, pdf);
108  }
109  }
110 
111  const ParameterSet efficiencies = pset.getParameter<ParameterSet>("Efficiencies");
112  vector<string> efficiencyNames = efficiencies.getParameterNamesForType<ParameterSet>();
113  for (vector<string>::const_iterator name = efficiencyNames.begin(); name != efficiencyNames.end(); name++) {
114  try {
116  } catch (std::exception &ex) {
117  throw cms::Exception("Error", ex.what());
118  }
119  }
120 }
121 
123  vector<string> effCatState = pset.getParameter<vector<string> >("EfficiencyCategoryAndState");
124  if(effCatState.empty() || (effCatState.size() % 2 == 1)){
125  cout<<"EfficiencyCategoryAndState must be a even-sized list of category names and states of that category (cat1, state1, cat2, state2, ...)."<<endl;
126  exit(1);
127  }
128 
129  vector<string> unbinnedVariables;
130  if(pset.existsAs<vector<string> >("UnbinnedVariables")){
131  unbinnedVariables = pset.getParameter<vector<string> >("UnbinnedVariables");
132  }
133 
134  const ParameterSet binVars = pset.getParameter<ParameterSet>("BinnedVariables");
135  map<string, vector<double> >binnedVariables;
136  vector<string> variableNames = binVars.getParameterNamesForType<vector<double> >();
137  for (vector<string>::const_iterator var = variableNames.begin(); var != variableNames.end(); var++) {
138  vector<double> binning = binVars.getParameter<vector<double> >(*var);
139  binnedVariables[*var] = binning;
140  }
141  map<string, vector<string> >mappedCategories;
142  vector<string> categoryNames = binVars.getParameterNamesForType<vector<string> >();
143  for (vector<string>::const_iterator var = categoryNames.begin(); var != categoryNames.end(); var++) {
144  vector<string> map = binVars.getParameter<vector<string> >(*var);
145  mappedCategories[*var] = map;
146  }
147 
148  vector<string> binToPDFmap;
149  if(pset.existsAs<vector<string> >("BinToPDFmap")){
150  binToPDFmap = pset.getParameter<vector<string> >("BinToPDFmap");
151  }
152  if((binToPDFmap.size() > 0) && (binToPDFmap.size()%2 == 0)){
153  cout<<"BinToPDFmap must have odd size, first string is the default, followed by binRegExp - PDFname pairs!"<<endl;
154  exit(2);
155  }
156 
157  vector<string> effCats, effStates;
158  for (size_t i = 0, n = effCatState.size()/2; i < n; ++i) {
159  effCats.push_back(effCatState[2*i]);
160  effStates.push_back(effCatState[2*i+1]);
161  }
162 
163  fitter.calculateEfficiency(name, effCats, effStates, unbinnedVariables, binnedVariables, mappedCategories, binToPDFmap);
164 }
165 
166 //define this as a plug-in
168 
T getParameter(std::string const &) const
T getUntrackedParameter(std::string const &, T const &) const
int i
Definition: DBlmapReader.cc:9
bool addExpression(std::string expressionName, std::string title, std::string expression, std::vector< std::string > arguments)
adds a new category based on a cut
bool existsAs(std::string const &parameterName, bool trackiness=true) const
checks if a parameter exists as a given type
Definition: ParameterSet.h:187
void addPdf(std::string pdfName, std::vector< std::string > &pdfCommands)
#define DEFINE_FWK_MODULE(type)
Definition: MakerMacros.h:17
void setWeightVar(const std::string &weight)
set a variable to be used as weight for a dataset. empty string means no weights. ...
std::string calculateEfficiency(std::string dirName, std::string efficiencyCategory, std::string efficiencyState, std::vector< std::string > &unbinnedVariables, std::map< std::string, std::vector< double > > &binnedReals, std::map< std::string, std::vector< std::string > > &binnedCategories, std::vector< std::string > &binToPDFmap)
calculate the efficiency for a particular binning of the data; it saves everything in the directory &quot;...
void calculateEfficiency(string name, const edm::ParameterSet &pset)
bool addThresholdCategory(std::string categoryName, std::string title, std::string varName, double cutValue)
adds a new category based on a cut
std::vector< std::string > getParameterNamesForType(bool trackiness=true) const
Definition: ParameterSet.h:195
void setQuiet(bool quiet_=true)
suppress most of the output from RooFit and Minuit
virtual void analyze(const edm::Event &event, const edm::EventSetup &eventSetup)
TagProbeFitTreeAnalyzer(const edm::ParameterSet &pset)
void setBinnedFit(bool binned, int bins=0)
set if to do a binned fit
How EventSelector::AcceptEvent() decides whether to accept an event for output otherwise it is excluding the probing of A single or multiple positive and the trigger will pass if any such matching triggers are PASS or EXCEPTION[A criterion thatmatches no triggers at all is detected and causes a throw.] A single negative with an expectation of appropriate bit checking in the decision and the trigger will pass if any such matching triggers are FAIL or EXCEPTION A wildcarded negative criterion that matches more than one trigger in the trigger but the state exists so we define the behavior If all triggers are the negative crieriion will lead to accepting the event(this again matches the behavior of"!*"before the partial wildcard feature was incorporated).The per-event"cost"of each negative criterion with multiple relevant triggers is about the same as!*was in the past
virtual void endRun(const edm::Run &run, const edm::EventSetup &setup)
dictionary args
void setBinsForMassPlots(int bins)
set number of bins to use when making the plots; 0 = automatic
tuple cout
Definition: gather_cfg.py:121
bool addCategory(std::string categoryName, std::string title, std::string expression)
adds a new category variable to the set of variables describing the data in the tree; &quot;expression&quot; is...
bool addVariable(std::string variableName, std::string title, double low, double hi, std::string units)
adds a new real variable to the set of variables describing the data in the tree
void setup(std::vector< TH2F > &depth, std::string name, std::string units="")
Definition: Run.h:33