applyNormFactor.cc File Reference

#include <cstdlib>
#include <thread>
#include <iostream>
#include <filesystem>
#include <utility>
#include <optional>
#include <TChain.h>
#include <TFile.h>
#include <TROOT.h>
#include <TH1D.h>
#include <TRegexp.h>
#include "Core/CommonTools/interface/ControlPlots.h"
#include "Core/CommonTools/interface/DASOptions.h"
#include "Core/CommonTools/interface/toolbox.h"
#include "Core/Objects/interface/Event.h"
#include <darwin.h>

Include dependency graph for applyNormFactor.cc:

Namespaces
	DAS
	DAS::Normalisation

Functions
void	applyNormFactor (const vector< fs::path > &inputs, const fs::path &output, const pt::ptree &config, const int steering, const DT::Slice slice={1, 0})
int	main (int argc, char *argv[])

Function Documentation

main()

int main	(	int	argc,
		char *	argv[]
	)

Todo:

take uncertainties (and be careful with correlations)

{
    try {
        DT::StandardInit();
 
        vector<fs::path> inputs;
        fs::path output;
 
        auto options = DAS::Options(
                            "Normalise the MC samples to the cross section.",
                            DT::config | DT::split | DT::Friend);
        options.inputs("inputs", &inputs, "input ROOT file(s) or directory")
               .output("output", &output, "output ROOT file")
               .arg<float>("normFactor", "corrections.normFactor", "normalisation factor");
 
        const auto& config = options(argc, argv);
        const auto& slice = options.slice();
        const int steering = options.steering();
 
        DAS::Normalisation::applyNormFactor(inputs, output, config, steering, slice);
    }
    catch (boost::exception& e) {
        DE::Diagnostic(e);
        return EXIT_FAILURE;
    }
 
    return EXIT_SUCCESS;
}