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New RooFit Developments to Speed up your Analysis / Wolffs, Zef (Nikhef, Amsterdam) ; Bos, Patrick (Unlisted, NL) ; Burgard, Carsten (Tech. U., Dortmund (main)) ; Michalainas, Emmanouil (CERN ; Aristotle U., Thessaloniki) ; Moneta, Lorenzo (CERN) ; Rembser, Jonas (CERN) ; Verkerke, Wouter (Nikhef, Amsterdam)
As the field of high energy physics moves to an era of precision measurements its models become ever more complex and so do the challenges for computational frameworks that intend to fit these models to data. This report describes two computational optimizations with which RooFit intends to address this challenge: parallelization and batched computations. [...]
2022 - 6 p. - Published in : PoS ICHEP2022 (2022) 249 Fulltext: PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.249

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Faster RooFitting: Automated parallel calculation of collaborative statistical models / Bos, E G Patrick (Unlisted, NL) ; Burgard, Carsten D (Nikhef, Amsterdam) ; Croft, Vincent A (Tufts U.) ; Hageboeck, Stephan (CERN) ; Moneta, Lorenzo (CERN) ; Pelupessy, Inti (Unlisted, NL) ; Attema, Jisk J (Unlisted, NL) ; Verkerke, Wouter (Nikhef, Amsterdam)
RooFit [1, 2] is the main statistical modeling and fitting package used to extract physical parameters from reduced particle collision data, e.g. the Higgs boson experiments at the LHC [3, 4]. [...]
2020 - 8 p. - Published in : EPJ Web Conf. 245 (2020) 06027 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.06027

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Se också: liknande författarnamn
5	Bos, P J
1	Bos, Philip J

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