With default parameters the macro will attempt to run the standard hist2workspace example and read the ROOT file that it produces.
ProofConfig - Warning: using a number of workers = 2 which is larger than the number of cores in the machine 0
=== 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:: = (nominalLumi,nom_alpha_syst1,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) 0x55ca8bf31df0 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:: = (nominalLumi,nom_alpha_syst1,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) 0x55ca8bf31a00 RooRealVar:: SigXsecOverSM = 1 L(0 - 3) "SigXsecOverSM"
[#0] PROGRESS:Generation -- Test Statistic on data: 2.00306
[#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 = 0.514 +/- 0.0158052
- Significance = -0.0351 +/- 0.0396421 sigma
- Number of Alt toys: 1000
- Number of Null toys: 1000
- Test statistic evaluated on data: 2.00306
- CL_b: 0.514 +/- 0.0158052
- CL_s+b: 0.746 +/- 0.0137653
- CL_s: 1.45136 +/- 0.0520472
total CPU time: 10.76
total real time: 10.7537
(double) 0.51400000
#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)
{
if (!strcmp(infile, "")) {
filename =
"results/example_channel1_GammaExample_model.root";
if (!fileExist) {
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
if (!file) {
cout <<
"StandardRooStatsDemoMacro: Input file " <<
filename <<
" is not found" << endl;
return -1;
}
cout << "workspace not found" << endl;
return -1.0;
}
cout << "data or ModelConfig was not found" << endl;
return -1.0;
}
firstPOI->
setVal(poiValueForSignal);
firstPOI->
setVal(poiValueForBackground);
if (
data->numEntries() == 1) {
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;
}
winID h TVirtualViewer3D TVirtualGLPainter char TVirtualGLPainter plot
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char filename
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
R__EXTERN TSystem * gSystem
RooAbsArg * first() const
Abstract base class for binned and unbinned datasets.
bool 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.
Variable that can be changed from the outside.
void setVal(double value) override
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.
void Print(const Option_t *="") const override
Print out some information about the results Note: use Alt/Null labels for the hypotheses here as the...
virtual double NullPValue() const
Return p-value for null hypothesis.
SamplingDistribution * GetNullDistribution(void) const
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...
ModelConfig * Clone(const char *name="") const override
clone
const RooArgSet * GetParametersOfInterest() const
get RooArgSet containing the parameter of interest (return nullptr if not existing)
RooAbsPdf * GetPdf() const
get model PDF (return nullptr 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 flag=true)
virtual void SetVarName(const char *name)
Holds configuration options for proof and proof-lite.
ToyMCSampler is an implementation of the TestStatSampler interface.
Persistable container for RooFit projects.
TObject * Get(const char *namecycle) override
Return pointer to object identified by namecycle.
A ROOT file is an on-disk file, usually with extension .root, that stores objects in a file-system-li...
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.
virtual void Draw(Option_t *option="")
Default Draw method for all objects.
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.