RooStats for Searches

TL;DR

RooStats is a comprehensive C++ toolkit integrated with ROOT for statistical analysis in High Energy Physics, enabling hypothesis testing, confidence interval estimation, and analysis combination.

Contribution

This paper introduces RooStats, a new toolkit that standardizes and simplifies statistical analysis workflows in High Energy Physics using RooFit.

Findings

Provides a unified framework for statistical methods

Enables easy combination of analyses across experiments

Includes recent developments in statistical techniques

Abstract

The RooStats toolkit, which is distributed with the ROOT software package, provides a large collection of software tools that implement statistical methods commonly used by the High Energy Physics community. The toolkit is based on RooFit, a high-level data analysis modeling package that implements various methods of statistical data analysis. RooStats enforces a clear mapping of statistical concepts to C++ classes and methods and emphasizes the ability to easily combine analyses within and across experiments. We present an overview of the RooStats toolkit, describe some of the methods used for hypothesis testing and estimation of confidence intervals and finally discuss some of the latest developments.