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70 lines
2.8 KiB
70 lines
2.8 KiB
/**
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* @file parameterscan.hh
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* @author Christoph Langenbruch, Renata Kopecna
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* @date 2009-03-18
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*
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*/
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#ifndef PARAMETERSCAN_H
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#define PARAMETERSCAN_H
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#include <string>
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#include <vector>
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#include <multifit.hh>
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//TODO: move to /Run/!
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namespace fcnc {
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class options;
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class generator;
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class parameters;
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class pdf;
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///class to perform repeated fits while changing a parameter value, e.g. background fraction
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class parameterscan: public multifit {
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private:
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///common parameters in different parameter sets
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std::vector< std::string > common_params;
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public:
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///constructor
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parameterscan(options* o);
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/**
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* perform a parameter scan
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* @param param_name the name of the parameter which will be varied in the scan
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* @param min the start value for the varied parameter
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* @param max the stop value for the varied parameter
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* @param nsteps the number of steps in which to vary the parameter
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* @param nevents the number of events used per fit of the toy data
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* @param reruns the number of repeats for a single value of the parameter
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* @param prob pointer to the pdf to use in the likelihood fit
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* @param params pointer to parameterset to use in the likelihood fit
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* @param gen pointer to the toy data generator to use
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* @param only_float_in_generation only varies the parameter in the generation,
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* but fixes it in the fit. This way one can do systematic studies.
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**/
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void scan(std::string param_name, double min, double max, unsigned int nsteps, unsigned int nevents, unsigned int reruns, pdf* prob, parameters* params, generator* gen, bool only_float_in_generation=false);
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/**
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* perform a parameter scan
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* @param param_name the name of the parameter which will be varied in the scan
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* @param min the start value for the varied parameter
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* @param max the stop value for the varied parameter
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* @param nsteps the number of steps in which to vary the parameter
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* @param nevents the number of events used per fit of the toy data
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* @param reruns the number of repeats for a single value of the parameter
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* @param prob pointer to the pdf to use in the likelihood fit
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* @param params pointer to parameterset to use in the likelihood fit
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* @param gen pointer to the toy data generator to use
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* @param only_float_in_generation only varies the parameter in the generation,
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* but fixes it in the fit. This way one can do systematic studies.
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**/
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void scan(std::string param_name, double min, double max, unsigned int nsteps, std::vector<unsigned int> nevents, unsigned int reruns, std::vector<pdf*> pdfs, std::vector<parameters*> params, std::vector<generator*> gens, bool only_float_in_generation=false);
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///set common parameters
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void set_common_parameters(std::vector<std::string> common_pars) {
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common_params = common_pars;
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};
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};
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}
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#endif
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