exponential2.cpp File Reference

#include <goofit/Application.h>
#include <goofit/PDFs/basic/ExpPdf.h>
#include <goofit/UnbinnedDataSet.h>
#include <goofit/Variable.h>
#include <goofit/fitting/FCN.h>
#include <goofit/fitting/Params.h>
#include <Minuit2/FunctionMinimum.h>
#include <Minuit2/MnMigrad.h>
#include <Minuit2/MnPrint.h>
#include <Minuit2/MnUserParameters.h>
#include <iostream>

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 18 of file exponential2.cpp.

References GooFit::UnbinnedDataSet::addEvent(), data, GOOFIT_PARSE, and GooFit::PdfBase::setData().

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

    GOOFIT_PARSE(app);

    Minuit2::MnPrint::SetLevel(3);

    // Independent variable.
    Observable xvar{"xvar", 0, log(1 + RAND_MAX / 2)};

    // Data set
    UnbinnedDataSet data(xvar);

    // Generate toy events.
    for(int i = 0; i < 100000; ++i) {
        try {
            xvar.setValue(xvar.getUpperLimit() - log(1 + rand() / 2));
            data.addEvent();
        } catch(const GooFit::OutOfRange &) {
        }
    }

    // Fit parameter
    Variable alpha{"alpha", -2, 0.1, -10, 10};
    // GooPdf object
    ExpPdf exppdf{"exppdf", xvar, alpha};
    exppdf.setData(&data);

    GooFit::Params upar{exppdf};
    GooFit::FCN fcn{upar};

    Minuit2::MnMigrad migrad{fcn, upar};

    Minuit2::FunctionMinimum min = migrad();
    std::cout << "min= " << min << std::endl;

    return 0;
}