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The RooFit toolkit for data modeling

Tool reference. 92% of classified Pith citations use this work as a method, library, or software dependency, not as a substantive claim.

31 Pith papers citing it
258 external citations · Pith
Method reference 92% of classified citations
abstract

RooFit is a library of C++ classes that facilitate data modeling in the ROOT environment. Mathematical concepts such as variables, (probability density) functions and integrals are represented as C++ objects. The package provides a flexible framework for building complex fit models through classes that mimic math operators, and is straightforward to extend. For all constructed models RooFit provides a concise yet powerful interface for fitting (binned and unbinned likelihood, chi^2), plotting and toy Monte Carlo generation as well as sophisticated tools to manage large scale projects. RooFit has matured into an industrial strength tool capable of running the BABAR experiment's most complicated fits and is now available to all users on SourceForge.

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representative citing papers

RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis

hep-ph · 2026-05-17 · unverdicted · novelty 6.0

RooAgent provides an LLM agent interface that translates natural-language prompts into calls to PyROOT analysis functions for high energy physics tasks, with support for multiple AI backends and tested on ZH simulations and ATLAS open data.

Asymptotic formulae for likelihood-based tests of new physics

physics.data-an · 2010-07-10 · accept · novelty 6.0

Asymptotic distributions of profiled likelihood-ratio test statistics are derived for new-physics searches and parameter estimation, with the Asimov dataset supplying a direct route to median experimental sensitivity.

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Showing 31 of 31 citing papers.