With default parameters the macro will attempt to run the standard hist2workspace example and read the ROOT file that it produces.
␛[1mRooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby␛[0m
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
=== Using the following for ModelConfigNull ===
Observables: RooArgSet:: = (obs_x_channel1)
Parameters of Interest: RooArgSet:: = (SigXsecOverSM)
Nuisance Parameters: RooArgSet:: = (alpha_syst3,beta_syst2,gamma_stat_channel1_bin_0,gamma_stat_channel1_bin_1)
Global Observables: RooArgSet:: = (nom_beta_syst2,nom_alpha_syst3,nom_gamma_stat_channel1_bin_0,nom_gamma_stat_channel1_bin_1)
PDF: RooProdPdf::model_channel1[ lumiConstraint * alpha_syst1Constraint * beta_syst2Constraint * alpha_syst3Constraint * gamma_stat_channel1_bin_0_constraint * gamma_stat_channel1_bin_1_constraint * channel1_model(obs_x_channel1) ] = 0.208662
Snapshot:
1) 0x564ff6932ed0 RooRealVar:: SigXsecOverSM = 0 L(0 - 3) "SigXsecOverSM"
=== Using the following for ModelConfig ===
Observables: RooArgSet:: = (obs_x_channel1)
Parameters of Interest: RooArgSet:: = (SigXsecOverSM)
Nuisance Parameters: RooArgSet:: = (alpha_syst3,beta_syst2,gamma_stat_channel1_bin_0,gamma_stat_channel1_bin_1)
Global Observables: RooArgSet:: = (nom_beta_syst2,nom_alpha_syst3,nom_gamma_stat_channel1_bin_0,nom_gamma_stat_channel1_bin_1)
PDF: RooProdPdf::model_channel1[ lumiConstraint * alpha_syst1Constraint * beta_syst2Constraint * alpha_syst3Constraint * gamma_stat_channel1_bin_0_constraint * gamma_stat_channel1_bin_1_constraint * channel1_model(obs_x_channel1) ] = 0.208662
Snapshot:
1) 0x564ff69328b0 RooRealVar:: SigXsecOverSM = 1 L(0 - 3) "SigXsecOverSM"
[#0] PROGRESS:Generation -- Test Statistic on data: 2.00338
[#1] INFO:InputArguments -- Profiling conditional MLEs for Null.
[#1] INFO:InputArguments -- Using a ToyMCSampler. Now configuring for Null.
[#0] PROGRESS:Generation -- generated toys: 500 / 1000
[#1] INFO:InputArguments -- Profiling conditional MLEs for Alt.
[#1] INFO:InputArguments -- Using a ToyMCSampler. Now configuring for Alt.
[#0] PROGRESS:Generation -- generated toys: 500 / 1000
Results HypoTestCalculator_result:
- Null p-value = 0.515 +/- 0.0158043
- Significance = -0.0376083 +/- 0.0396435 sigma
- Number of Alt toys: 1000
- Number of Null toys: 1000
- Test statistic evaluated on data: 2.00338
- CL_b: 0.515 +/- 0.0158043
- CL_s+b: 0.767 +/- 0.0133683
- CL_s: 1.48932 +/- 0.0525612
total CPU time: 13.01
total real time: 13.0172
(double) 0.51500000
#include <vector>
double StandardFrequentistDiscovery(const char *infile = "", const char *workspaceName = "channel1",
const char *modelConfigNameSB = "ModelConfig", const char *dataName = "obsData",
int toys = 1000, double poiValueForBackground = 0.0, double poiValueForSignal = 1.0)
{
const char *filename = "";
if (!strcmp(infile, "")) {
filename = "results/example_channel1_GammaExample_model.root";
if (!fileExist) {
#ifdef _WIN32
cout << "HistFactory file cannot be generated on Windows - exit" << endl;
return -1;
#endif
cout << "will run standard hist2workspace example" << endl;
gROOT->ProcessLine(
".! prepareHistFactory .");
gROOT->ProcessLine(
".! hist2workspace config/example.xml");
cout << "\n\n---------------------" << endl;
cout << "Done creating example input" << endl;
cout << "---------------------\n\n" << endl;
}
} else
filename = infile;
cout << "StandardRooStatsDemoMacro: Input file " << filename << " is not found" << endl;
return -1;
}
if (!w) {
cout << "workspace not found" << endl;
return -1.0;
}
if (!data || !mc) {
cout << "data or ModelConfig was not found" << endl;
return -1.0;
}
firstPOI->
setVal(poiValueForSignal);
firstPOI->
setVal(poiValueForBackground);
toymcs.SetNEventsPerToy(1);
} else
cout << "Not sure what to do about this model" << endl;
}
freqCalc.SetToys(toys, toys);
cout <<
"total CPU time: " << mn_t->
CpuTime() << endl;
cout <<
"total real time: " << mn_t->
RealTime() << endl;
int nPOI = 1;
c1->SaveAs(
"standard_discovery_output.pdf");
return pvalue;
}
R__EXTERN TSystem * gSystem
RooAbsArg * first() const
RooAbsData is the common abstract base class for binned and unbinned datasets.
virtual Int_t numEntries() const
Return number of entries in dataset, i.e., count unweighted entries.
Bool_t canBeExtended() const
If true, PDF can provide extended likelihood term.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
RooArgSet * snapshot(bool deepCopy=true) const
Use RooAbsCollection::snapshot(), but return as RooArgSet.
RooRealVar represents a variable that can be changed from the outside.
virtual void setVal(Double_t value)
Set value of variable to 'value'.
Does a frequentist hypothesis test.
This class provides the plots for the result of a study performed with any of the HypoTestCalculatorG...
HypoTestResult is a base class for results from hypothesis tests.
virtual Double_t NullPValue() const
Return p-value for null hypothesis.
SamplingDistribution * GetNullDistribution(void) const
void Print(const Option_t *="") const
Print out some information about the results Note: use Alt/Null labels for the hypotheses here as the...
SamplingDistribution * GetAltDistribution(void) const
ModelConfig is a simple class that holds configuration information specifying how a model should be u...
virtual void SetSnapshot(const RooArgSet &set)
Set parameter values for a particular hypothesis if using a common PDF by saving a snapshot in the wo...
virtual ModelConfig * Clone(const char *name="") const override
clone
const RooArgSet * GetParametersOfInterest() const
get RooArgSet containing the parameter of interest (return NULL if not existing)
RooAbsPdf * GetPdf() const
get model PDF (return NULL if pdf has not been specified or does not exist)
ProfileLikelihoodTestStat is an implementation of the TestStatistic interface that calculates the pro...
void SetOneSidedDiscovery(Bool_t flag=true)
virtual void SetVarName(const char *name)
Holds configuration options for proof and proof-lite.
void AddTF1(TF1 *f, const char *title=NULL, Option_t *drawOptions="SAME")
add a TF1
void SetLogYaxis(Bool_t ly)
changes plot to log scale on y axis
void Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
ToyMCSampler is an implementation of the TestStatSampler interface.
The RooWorkspace is a persistable container for RooFit projects.
RooAbsData * data(const char *name) const
Retrieve dataset (binned or unbinned) with given name. A null pointer is returned if not found.
void Print(Option_t *opts=0) const
Print contents of the workspace.
TObject * obj(const char *name) const
Return any type of object (RooAbsArg, RooAbsData or generic object) with given name)
A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format.
static TFile * Open(const char *name, Option_t *option="", const char *ftitle="", Int_t compress=ROOT::RCompressionSetting::EDefaults::kUseCompiledDefault, Int_t netopt=0)
Create / open a file.
virtual void SetTitle(const char *title="")
Set the title of the TNamed.
Double_t RealTime()
Stop the stopwatch (if it is running) and return the realtime (in seconds) passed between the start a...
void Start(Bool_t reset=kTRUE)
Start the stopwatch.
Double_t CpuTime()
Stop the stopwatch (if it is running) and return the cputime (in seconds) passed between the start an...
void Stop()
Stop the stopwatch.
static TString Format(const char *fmt,...)
Static method which formats a string using a printf style format descriptor and return a TString.
virtual Bool_t AccessPathName(const char *path, EAccessMode mode=kFileExists)
Returns FALSE if one can access a file using the specified access mode.
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
Namespace for the RooStats classes.
static constexpr double pc