The RooFit toolkit for data modeling. 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.

References in zbMATH (referenced in 4 articles )

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  1. J. García Pardiñas, S. Meloni, L. Grillo, P. Owen, M. Calvi, N. Serra: RooHammerModel: interfacing the HAMMER software tool with the HistFactory package (2020) arXiv
  2. Priel, Nadav; Rauch, Ludwig; Landsman, Hagar; Manfredini, Alessandro; Budnik, Ranny: A model independent safeguard against background mismodeling for statistical inference (2017)
  3. Antcheva, I.; Ballintijn, M.; Bellenot, B.; Biskup, M.; Brun, R.; Buncic, N.; Canal, Ph.; Casadei, D.; Couet, O.; Fine, V.; Franco, L.; Ganis, G.; Gheata, A.; Maline, D. Gonzalez; Goto, M.; Iwaszkiewicz, J.; Kreshuk, A.; Segura, D. Marcos; Maunder, R.; Moneta, L.; Al.: ROOT - a C++ framework for petabyte data storage, statistical analysis and visualization (2009) ioport
  4. Mościcki, J. T.; Brochu, F.; Ebke, J.; Egede, U.; Elmsheuser, J.; Harrison, K.; Jones, R. W. L.; Lee, H. C.; Liko, D.; Maier, A.; Muraru, A.; Patrick, G. N.; Pajchel, K.; Reece, W.; Samset, B. H.; Slater, M. W.; Soroko, A.; Tan, C. L.; Van Der Ster, D. C.; Williams, M.: Ganga: A tool for computational-task management and easy access to grid resources (2009) ioport