#include <SensitivityCalculator.h>

Public Member Functions
	SensitivityCalculator (double CL=0.9, bool FC=false)

void	setEfficiency (double mean, double sigma)

void	setThermalBackground (int nobserved, double mean_bg_to_sig_ratio)

void	setAnthroBackground (int nobserved, double mean_bg_to_sig_ratio, double sigma_bg_to_sig_ratio)

double	getLimit (int nobs, double lower=0, double upper=0)

TGraphErrors *	confidenceBands (int start=0, int stop=20)

TH1 *	histNObserved (double S)

TH1 *	histBAnthro ()

TH1 *	histBThermal ()

TH1 *	histBTotal ()

Detailed Description

Sensitivity calculator ...

Poisson signal + gaussian efficiency + separate poisson backgrounds using RooStats

This can easily be generalized to different efficiency / background models pretty easily (although, eventually you'll just be implementing an interface to RooStats) .

This can either use the ``large-sample'' profile likelihood method as described in: https://arxiv.org/abs/1505.07027 or a profile-likelihood-weighted FC-like method (which requires a large amount of MC and is much slower)

Cosmin Deaconu cozzy.nosp@m.d@ki.nosp@m.cp.uc.nosp@m.hica.nosp@m.go.ed.nosp@m.u

Definition at line 23 of file SensitivityCalculator.h.

The documentation for this class was generated from the following files:

components/AnitaAnalysisFramework/include/SensitivityCalculator.h
components/AnitaAnalysisFramework/src/SensitivityCalculator.cc

Public Member Functions

Detailed Description