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StandardHistFactoryPlotsWithCategories.C File Reference

Detailed Description

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StandardHistFactoryPlotsWithCategories

This is a standard demo that can be used with any ROOT file prepared in the standard way. You specify:

  • name for input ROOT file
  • name of workspace inside ROOT file that holds model and data
  • name of ModelConfig that specifies details for calculator tools
  • name of dataset

With default parameters the macro will attempt to run the standard hist2workspace example and read the ROOT file that it produces.

The macro will scan through all the categories in a simPdf find the corresponding observable. For each category, it will loop through each of the nuisance parameters and plot

  • the data
  • the nominal model (blue)
  • the +Nsigma (red)
  • the -Nsigma (green)

You can specify how many sigma to vary by changing nSigmaToVary. You can also change the signal rate by changing muVal.

The script produces a lot plots, you can merge them by doing:

gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=merged.pdf `ls *pdf`
float * q
1) 0x559558e8b780 RooRealVar:: alpha_syst2 = 0 +/- 1 L(-5 - 5) "alpha_syst2"
2) 0x559559d19340 RooRealVar:: alpha_syst3 = 0 +/- 1 L(-5 - 5) "alpha_syst3"
3) 0x559559ca86d0 RooRealVar:: gamma_stat_channel1_bin_0 = 1 +/- 0.05 L(0 - 1.25) "gamma_stat_channel1_bin_0"
4) 0x559558c13610 RooRealVar:: gamma_stat_channel1_bin_1 = 1 +/- 0.1 L(0 - 1.5) "gamma_stat_channel1_bin_1"
check expectedData by category
Is a simultaneous PDF
on type channel1
channelCat==channelCat::channel1
channel1 channel1
[#1] INFO:Plotting -- RooTreeData::plotOn: plotting 234 events out of 234 total events
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
channelCat==channelCat::channel1
channel1 channel1
[#1] INFO:Plotting -- RooTreeData::plotOn: plotting 234 events out of 234 total events
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
channelCat==channelCat::channel1
channel1 channel1
[#1] INFO:Plotting -- RooTreeData::plotOn: plotting 234 events out of 234 total events
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
channelCat==channelCat::channel1
channel1 channel1
[#1] INFO:Plotting -- RooTreeData::plotOn: plotting 234 events out of 234 total events
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(channel1_model_Int[obs_x_channel1]) using numeric integrator RooBinIntegrator to calculate Int(obs_x_channel1)
#include "TFile.h"
#include "TROOT.h"
#include "TCanvas.h"
#include "TList.h"
#include "TMath.h"
#include "TSystem.h"
#include "RooWorkspace.h"
#include "RooAbsData.h"
#include "RooRealVar.h"
#include "RooPlot.h"
#include "RooCategory.h"
using namespace RooFit;
using namespace RooStats;
using std::cout, std::endl;
void StandardHistFactoryPlotsWithCategories(const char *infile = "", const char *workspaceName = "combined",
const char *modelConfigName = "ModelConfig",
const char *dataName = "obsData")
{
double nSigmaToVary = 5.;
double muVal = 0;
bool doFit = false;
// -------------------------------------------------------
// First part is just to access a user-defined file
// or create the standard example file if it doesn't exist
const char *filename = "";
if (!strcmp(infile, "")) {
filename = "results/example_combined_GaussExample_model.root";
bool fileExist = !gSystem->AccessPathName(filename); // note opposite return code
// if file does not exists generate with histfactory
if (!fileExist) {
// Normally this would be run on the command line
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;
// Try to open the file
TFile *file = TFile::Open(filename);
// if input file was specified but not found, quit
if (!file) {
cout << "StandardRooStatsDemoMacro: Input file " << filename << " is not found" << endl;
return;
}
// -------------------------------------------------------
// Tutorial starts here
// -------------------------------------------------------
// get the workspace out of the file
if (!w) {
cout << "workspace not found" << endl;
return;
}
// get the modelConfig out of the file
ModelConfig *mc = (ModelConfig *)w->obj(modelConfigName);
// get the modelConfig out of the file
// make sure ingredients are found
if (!data || !mc) {
w->Print();
cout << "data or ModelConfig was not found" << endl;
return;
}
// -------------------------------------------------------
// now use the profile inspector
std::vector<RooPlot *> frameList;
RooRealVar *firstPOI = dynamic_cast<RooRealVar *>(mc->GetParametersOfInterest()->first());
firstPOI->setVal(muVal);
// firstPOI->setConstant();
if (doFit) {
mc->GetPdf()->fitTo(*data);
}
// -------------------------------------------------------
int nPlotsMax = 1000;
cout << " check expectedData by category" << endl;
RooDataSet *simData = NULL;
RooSimultaneous *simPdf = NULL;
if (strcmp(mc->GetPdf()->ClassName(), "RooSimultaneous") == 0) {
cout << "Is a simultaneous PDF" << endl;
simPdf = (RooSimultaneous *)(mc->GetPdf());
} else {
cout << "Is not a simultaneous PDF" << endl;
}
if (doFit) {
RooCategory *channelCat = (RooCategory *)(&simPdf->indexCat());
auto const& catName = channelCat->begin()->first;
RooAbsPdf *pdftmp = ((RooSimultaneous *)mc->GetPdf())->getPdf(catName.c_str());
std::unique_ptr<RooArgSet> obstmp{pdftmp->getObservables(*mc->GetObservables())};
obs = ((RooRealVar *)obstmp->first());
RooPlot *frame = obs->frame();
cout << Form("%s==%s::%s", channelCat->GetName(), channelCat->GetName(), catName.c_str()) << endl;
cout << catName << " " << channelCat->getLabel() << endl;
data->plotOn(frame, MarkerSize(1),
Cut(Form("%s==%s::%s", channelCat->GetName(), channelCat->GetName(), catName.c_str())),
Double_t normCount =
data->sumEntries(Form("%s==%s::%s", channelCat->GetName(), channelCat->GetName(), catName.c_str()));
frame->Draw();
cout << "expected events = " << mc->GetPdf()->expectedEvents(*data->get()) << endl;
return;
}
int nPlots = 0;
if (!simPdf) {
RooPlot *frame = obs->frame();
frame->SetYTitle(var->GetName());
data->plotOn(frame, MarkerSize(1));
const double value = var->getVal();
mc->GetPdf()->plotOn(frame, LineWidth(1.));
var->setVal(value + var->getError());
var->setVal(value - var->getError());
frameList.push_back(frame);
var->setVal(value);
}
} else {
RooCategory *channelCat = (RooCategory *)(&simPdf->indexCat());
for (auto const& tt : *channelCat) {
if (nPlots == nPlotsMax) {
break;
}
auto const& catName = tt.first;
cout << "on type " << catName << " " << endl;
// Get pdf associated with state from simpdf
RooAbsPdf *pdftmp = simPdf->getPdf(catName.c_str());
// Generate observables defined by the pdf associated with this state
std::unique_ptr<RooArgSet> obstmp{pdftmp->getObservables(*mc->GetObservables())};
// obstmp->Print();
obs = ((RooRealVar *)obstmp->first());
if (nPlots == nPlotsMax) break;
TCanvas *c2 = new TCanvas("c2");
RooPlot *frame = obs->frame();
frame->SetName(Form("frame%d", nPlots));
frame->SetYTitle(var->GetName());
cout << Form("%s==%s::%s", channelCat->GetName(), channelCat->GetName(), catName.c_str()) << endl;
cout << catName << " " << channelCat->getLabel() << endl;
data->plotOn(frame, MarkerSize(1),
Cut(Form("%s==%s::%s", channelCat->GetName(), channelCat->GetName(), catName.c_str())),
Double_t normCount =
// remember the nominal value
const double value = var->getVal();
// w->allVars().Print("v");
// mc->GetNuisanceParameters()->Print("v");
// pdftmp->plotOn(frame,LineWidth(2.));
// mc->GetPdf()->plotOn(frame,LineWidth(2.),Slice(*channelCat,catName.c_str()),ProjWData(*data));
// pdftmp->plotOn(frame,LineWidth(2.),Slice(*channelCat,catName.c_str()),ProjWData(*data));
pdftmp->plotOn(frame, LineWidth(2.), Normalization(normCount, RooAbsReal::NumEvent)); // nominal
var->setVal(value + nSigmaToVary * var->getError());
// pdftmp->plotOn(frame,LineColor(kRed),LineStyle(kDashed),LineWidth(2));
// mc->GetPdf()->plotOn(frame,LineColor(kRed),LineStyle(kDashed),LineWidth(2.),Slice(*channelCat,catName.c_str()),ProjWData(*data));
// pdftmp->plotOn(frame,LineColor(kRed),LineStyle(kDashed),LineWidth(2.),Slice(*channelCat,catName.c_str()),ProjWData(*data));
normCount = pdftmp->expectedEvents(*obs);
pdftmp->plotOn(frame, LineWidth(2.), LineColor(kRed), LineStyle(kDashed),
Normalization(normCount, RooAbsReal::NumEvent)); // +n sigma
var->setVal(value - nSigmaToVary * var->getError());
// pdftmp->plotOn(frame,LineColor(kGreen),LineStyle(kDashed),LineWidth(2));
// mc->GetPdf()->plotOn(frame,LineColor(kGreen),LineStyle(kDashed),LineWidth(2),Slice(*channelCat,catName.c_str()),ProjWData(*data));
// pdftmp->plotOn(frame,LineColor(kGreen),LineStyle(kDashed),LineWidth(2),Slice(*channelCat,catName.c_str()),ProjWData(*data));
normCount = pdftmp->expectedEvents(*obs);
Normalization(normCount, RooAbsReal::NumEvent)); // -n sigma
// set them back to normal
var->setVal(value);
frameList.push_back(frame);
// quit making plots
++nPlots;
frame->Draw();
c2->SaveAs(Form("%s_%s_%s.pdf", catName.c_str(), obs->GetName(), var->GetName()));
delete c2;
}
}
}
// -------------------------------------------------------
// now make plots
TCanvas *c1 = new TCanvas("c1", "ProfileInspectorDemo", 800, 200);
int nFrames = frameList.size();
if (nFrames > 4) {
int nx = (int)sqrt(nFrames);
int ny = TMath::CeilNint(nFrames / nx);
nx = TMath::CeilNint(sqrt(nFrames));
c1->Divide(ny, nx);
} else
c1->Divide(nFrames);
for (int i = 0; i < nFrames; ++i) {
c1->cd(i + 1);
frameList[i]->Draw();
}
}
ROOT::RRangeCast< T, false, Range_t > static_range_cast(Range_t &&coll)
double Double_t
Double 8 bytes.
Definition RtypesCore.h:73
@ kRed
Definition Rtypes.h:67
@ kGreen
Definition Rtypes.h:67
@ kDashed
Definition TAttLine.h:54
#define gROOT
Definition TROOT.h:417
char * Form(const char *fmt,...)
Formats a string in a circular formatting buffer.
Definition TString.cxx:2496
externTSystem * gSystem
Definition TSystem.h:582
RooFit::OwningPtr< RooArgSet > getObservables(const RooArgSet &set, bool valueOnly=true) const
Given a set of possible observables, return the observables that this PDF depends on.
const char * getLabel() const
Retrieve current label. Use getCurrentLabel() for more clarity.
std::map< std::string, value_type >::const_iterator begin() const
Iterator for category state names. Points to pairs of index and name.
RooAbsArg * first() const
void Print(Option_t *options=nullptr) const override
This method must be overridden when a class wants to print itself.
Abstract base class for binned and unbinned datasets.
Definition RooAbsData.h:56
Abstract interface for all probability density functions.
Definition RooAbsPdf.h:32
RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}, const RooCmdArg &arg9={}, const RooCmdArg &arg10={}) const override
Helper calling plotOn(RooPlot*, RooLinkedList&) const.
Definition RooAbsPdf.h:116
virtual double expectedEvents(const RooArgSet *nset) const
Return expected number of events to be used in calculation of extended likelihood.
RooFit::OwningPtr< RooFitResult > fitTo(RooAbsData &data, CmdArgs_t const &... cmdArgs)
Fit PDF to given dataset.
Definition RooAbsPdf.h:149
RooPlot * frame(const RooCmdArg &arg1, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
Create a new RooPlot on the heap with a drawing frame initialized for this object,...
Object to represent discrete states.
Definition RooCategory.h:28
Container class to hold unbinned data.
Definition RooDataSet.h:32
Plot frame and a container for graphics objects within that frame.
Definition RooPlot.h:43
void SetName(const char *name) override
Set the name of the RooPlot to 'name'.
Definition RooPlot.cxx:1187
void Draw(Option_t *options=nullptr) override
Draw this plot and all of the elements it contains.
Definition RooPlot.cxx:597
void SetYTitle(const char *title)
Definition RooPlot.cxx:1302
Variable that can be changed from the outside.
Definition RooRealVar.h:37
void setVal(double value) override
Set value of variable to 'value'.
Facilitates simultaneous fitting of multiple PDFs to subsets of a given dataset.
RooAbsPdf * getPdf(RooStringView catName) const
Return the p.d.f associated with the given index category name.
const RooAbsCategoryLValue & indexCat() const
const RooArgSet * GetParametersOfInterest() const
get RooArgSet containing the parameter of interest (return nullptr if not existing)
const RooArgSet * GetNuisanceParameters() const
get RooArgSet containing the nuisance parameters (return nullptr if not existing)
const RooArgSet * GetObservables() const
get RooArgSet for observables (return nullptr if not existing)
RooAbsPdf * GetPdf() const
get model PDF (return nullptr if pdf has not been specified or does not exist)
Persistable container for RooFit projects.
The Canvas class.
Definition TCanvas.h:23
TObject * Get(const char *namecycle) override
Return pointer to object identified by namecycle.
A file, usually with extension .root, that stores data and code in the form of serialized objects in ...
Definition TFile.h:130
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.
Definition TFile.cxx:3787
const char * GetName() const override
Returns name of object.
Definition TNamed.h:49
virtual const char * ClassName() const
Returns name of class to which the object belongs.
Definition TObject.cxx:227
RooCmdArg DataError(Int_t)
RooCmdArg LineColor(TColorNumber color)
RooCmdArg LineWidth(Width_t width)
RooCmdArg Normalization(double scaleFactor)
RooCmdArg MarkerSize(Size_t size)
RooCmdArg Cut(const char *cutSpec)
RooCmdArg LineStyle(Style_t style)
return c1
Definition legend1.C:41
return c2
Definition legend2.C:14
VecExpr< UnaryOp< Sqrt< T >, VecExpr< A, T, D >, T >, T, D > sqrt(const VecExpr< A, T, D > &rhs)
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
Definition CodegenImpl.h:72
RooStats::ModelConfig ModelConfig
Namespace for the RooStats classes.
Definition CodegenImpl.h:66
Int_t CeilNint(Double_t x)
Returns the nearest integer of TMath::Ceil(x).
Definition TMath.h:685
auto * tt
Definition textangle.C:16
Author
Kyle Cranmer

Definition in file StandardHistFactoryPlotsWithCategories.C.