addition.cpp File Reference

#include <goofit/Application.h>
#include <goofit/FitManager.h>
#include <goofit/PDFs/basic/GaussianPdf.h>
#include <goofit/PDFs/basic/PolynomialPdf.h>
#include <goofit/PDFs/combine/AddPdf.h>
#include <goofit/UnbinnedDataSet.h>
#include <goofit/Variable.h>
#include <TCanvas.h>
#include <TH1F.h>
#include <TH2F.h>
#include <TRandom.h>
#include <TStyle.h>
#include <iostream>
#include <sys/time.h>
#include <sys/times.h>

Go to the source code of this file.

Functions
int	main (int argc, char **argv)

Function Documentation

main()

int main	(	int	argc,
		char **	argv
	)

Definition at line 22 of file addition.cpp.

References GooFit::UnbinnedDataSet::addEvent(), data, GooFit::FitManagerMinuit2::fit(), foo, GooFit::DataSet::getNumEvents(), GOOFIT_PARSE, GooFit::UnbinnedDataSet::loadEvent(), and GooFit::PdfBase::setData().

                                {
    GooFit::Application app("Addition example", argc, argv);

    GOOFIT_PARSE(app);

    gStyle->SetCanvasBorderMode(0);
    gStyle->SetCanvasColor(10);
    gStyle->SetFrameFillColor(10);
    gStyle->SetFrameBorderMode(0);
    gStyle->SetPadColor(0);
    gStyle->SetTitleColor(1);
    gStyle->SetStatColor(0);
    gStyle->SetFillColor(0);
    gStyle->SetFuncWidth(1);
    gStyle->SetLineWidth(1);
    gStyle->SetLineColor(1);
    gStyle->SetPalette(1, 0);

    Observable xvar{"xvar", -5, 5};

    UnbinnedDataSet data(xvar);

    TH1F xvarHist("xvarHist", "", xvar.getNumBins(), xvar.getLowerLimit(), xvar.getUpperLimit());

    xvarHist.SetStats(false);

    TRandom donram(42);
    double totalData = 0;

    for(int i = 0; i < 100000; ++i) {
        xvar.setValue(donram.Gaus(0.2, 1.1));

        if(donram.Uniform() < 0.1)
            xvar.setValue(donram.Uniform(xvar.getLowerLimit(), xvar.getUpperLimit()));

        if(fabs(xvar.getValue()) > 5) {
            --i;
            continue;
        }

        data.addEvent();
        xvarHist.Fill(xvar.getValue());
        totalData++;
    }

    Variable xmean{"xmean", 0, 1, -10, 10};
    Variable xsigm{"xsigm", 1, 0.5, 1.5};
    GaussianPdf signal{"signal", xvar, xmean, xsigm};

    Variable constant{"constant", 1.0};
    PolynomialPdf backgr{"backgr", xvar, {constant}};

    Variable sigFrac{"sigFrac", 0.9, 0.75, 1.00};

    AddPdf total{"total", {sigFrac}, {&signal, &backgr}};

    total.setData(&data);
    FitManager fitter(&total);
    fitter.fit();

    TH1F pdfHist("pdfHist", "", xvar.getNumBins(), xvar.getLowerLimit(), xvar.getUpperLimit());
    TH1F sigHist("sigHist", "", xvar.getNumBins(), xvar.getLowerLimit(), xvar.getUpperLimit());
    TH1F bkgHist("bkgHist", "", xvar.getNumBins(), xvar.getLowerLimit(), xvar.getUpperLimit());

    pdfHist.SetStats(false);
    sigHist.SetStats(false);
    bkgHist.SetStats(false);

    UnbinnedDataSet grid(xvar);

    for(int i = 0; i < xvar.getNumBins(); ++i) {
        double step = (xvar.getUpperLimit() - xvar.getLowerLimit()) / xvar.getNumBins();
        xvar.setValue(xvar.getLowerLimit() + (i + 0.5) * step);
        grid.addEvent();
    }

    total.setData(&grid);
    std::vector<std::vector<double>> pdfVals = total.getCompProbsAtDataPoints();

    TCanvas foo;

    double totalPdf = 0;

    for(int i = 0; i < grid.getNumEvents(); ++i) {
        grid.loadEvent(i);
        pdfHist.Fill(xvar.getValue(), pdfVals[0][i]);
        sigHist.Fill(xvar.getValue(), pdfVals[1][i]);
        bkgHist.Fill(xvar.getValue(), pdfVals[2][i]);
        totalPdf += pdfVals[0][i];
    }

    for(int i = 0; i < xvar.getNumBins(); ++i) {
        double val = pdfHist.GetBinContent(i + 1);
        val /= totalPdf;
        val *= totalData;
        pdfHist.SetBinContent(i + 1, val);
        val = sigHist.GetBinContent(i + 1);
        val /= totalPdf;
        val *= sigFrac.getValue();
        val *= totalData;
        sigHist.SetBinContent(i + 1, val);
        val = bkgHist.GetBinContent(i + 1);
        val /= totalPdf;
        val *= (1.0 - sigFrac.getValue());
        val *= totalData;
        bkgHist.SetBinContent(i + 1, val);
    }

    xvarHist.SetMarkerStyle(8);
    xvarHist.SetMarkerSize(0.5);
    xvarHist.Draw("p");
    pdfHist.SetLineColor(kBlue);
    pdfHist.SetLineWidth(3);
    pdfHist.Draw("lsame");
    sigHist.SetLineColor(kBlue);
    sigHist.SetLineStyle(kDashed);
    sigHist.SetLineWidth(3);
    sigHist.Draw("lsame");
    bkgHist.SetLineColor(kRed);
    bkgHist.SetLineWidth(3);
    bkgHist.Draw("lsame");
    foo.SaveAs("xhist.png");

    return fitter;
}