The RooFit toolkit for data modeling

dc.creatorVerkerke, Wouter
dc.creatorKirkby, David
dc.date2003-06-14
dc.date.accessioned2026-07-07T05:49:27Z
dc.date.available2026-07-07T05:49:27Z
dc.descriptionRooFit 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.
dc.descriptionTalk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 9 pages, LaTeX, 6 eps figures. PSN MOLT07
dc.identifierhttps://arxiv.org/abs/physics/0306116
dc.identifierhttp://arxiv.org/abs/physics/0306116
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/85397
dc.subjectData Analysis, Statistics and Probability
dc.titleThe RooFit toolkit for data modeling
dc.typetext

Files

Collections