StandardHistFactoryPlotsWithCategories.C

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/// \file
/// \ingroup tutorial_roostats
/// \notebook -js
/// 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:
/// ~~~{.cpp}
///  gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -sOutputFile=merged.pdf `ls *pdf`
/// ~~~
///
/// \macro_image
/// \macro_output
/// \macro_code
///
/// \author Kyle Cranmer
 
#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 "RooSimultaneous.h"
#include "RooCategory.h"
 
#include "RooStats/ModelConfig.h"
#include "RooStats/ProfileInspector.h"
 
using namespace RooFit;
using namespace RooStats;
using std::cout, std::endl;
 
void 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
   RooWorkspace *w = (RooWorkspace *)file->Get(workspaceName);
   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
   RooAbsData *data = w->data(dataName);
 
   // make sure ingredients are found
   if (!data || !mc) {
      w->Print();
      cout << "data or ModelConfig was not found" << endl;
      return;
   }
 
   // -------------------------------------------------------
   // now use the profile inspector
 
   RooRealVar *obs = (RooRealVar *)mc->GetObservables()->first();
   std::vector<RooPlot *> frameList;
 
   RooRealVar *firstPOI = dynamic_cast<RooRealVar *>(mc->GetParametersOfInterest()->first());
 
   firstPOI->setVal(muVal);
   //  firstPOI->setConstant();
   if (doFit) {
      mc->GetPdf()->fitTo(*data);
   }
 
   // -------------------------------------------------------
 
   mc->GetNuisanceParameters()->Print("v");
   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())),
                   DataError(RooAbsData::None));
 
      Double_t normCount =
         data->sumEntries(Form("%s==%s::%s", channelCat->GetName(), channelCat->GetName(), catName.c_str()));
 
      pdftmp->plotOn(frame, LineWidth(2.), Normalization(normCount, RooAbsReal::NumEvent));
      frame->Draw();
      cout << "expected events = " << mc->GetPdf()->expectedEvents(*data->get()) << endl;
      return;
   }
 
   int nPlots = 0;
   if (!simPdf) {
 
      for (auto *var : static_range_cast<RooRealVar *>(*mc->GetNuisanceParameters())) {
         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());
         mc->GetPdf()->plotOn(frame, LineColor(kRed), LineStyle(kDashed), LineWidth(1));
         var->setVal(value - var->getError());
         mc->GetPdf()->plotOn(frame, LineColor(kGreen), LineStyle(kDashed), LineWidth(1));
         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());
 
         for (auto *var : static_range_cast<RooRealVar*>(*mc->GetNuisanceParameters())) {
            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())),
                         DataError(RooAbsData::None));
 
            Double_t normCount =
               data->sumEntries(Form("%s==%s::%s", channelCat->GetName(), channelCat->GetName(), catName.c_str()));
 
            // 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));
            normCount = pdftmp->expectedEvents(*obs);
            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);
            pdftmp->plotOn(frame, LineWidth(2.), LineColor(kGreen), LineStyle(kDashed),
                           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();
   }
}