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CERN Document Server Sök i 2,027 journaler efter:  1 - 10nästaslut  gå till journal: Sökningen tog 0.48 sekunder. 
1.
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Acceleration with GPUs and other RooFit news / Michalainas, Emmanouil (Aristotle University of Thessaloniki (GR)) ; Rembser, Jonas (CERN) ; Hageboeck, Stephan (CERN) ; Moneta, Lorenzo (CERN)
RooFit is a toolkit for statistical modeling and fitting, and together with RooStats it is used for measurements and statistical tests by most experiments in particle physics, particularly the LHC experiments. [...]
CERN-OPEN-2022-014. - 2023. - 6 p.
Preprint
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2.
(91)
Speeding up RooFit with auto-vectorization and batch evaluation. / Michalainas, Emmanouil
RooFit is a module of the ROOT data analysis framework, used in all LHC and other experiments. [...]
CERN-STUDENTS-Note-2019-233. - 2019
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3.
(76)
Automatic Differentiation of Binned Likelihoods With Roofit and Clad / Singh, Garima (Princeton U.) ; Rembser, Jonas (CERN) ; Moneta, Lorenzo (CERN) ; Lange, David (Princeton U.) ; Vassilev, Vassil (Princeton U.)
RooFit is a toolkit for statistical modeling and fitting used by most experiments in particle physics. [...]
arXiv:2304.02650. - 6 p.
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4.
(71)
Making RooFit Ready for Run 3 / Hageboeck, S. (CERN) ; Moneta, L. (CERN)
RooFit and RooStats, the toolkits for statistical modelling in ROOT, are used in most searches and measurements at the Large Hadron Collider. The data to be collected in Run 3 will enable measurements with higher precision and models with larger complexity, but also require faster data processing. [...]
arXiv:2003.12861.- 2020-07-08 - 5 p. - Published in : J. Phys.: Conf. Ser. 1525 (2020) 012114 Fulltext: PDF;
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019, pp.012114
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5.
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What the new RooFit can do for your analysis / Hageboeck, Stephan (CERN)
RooFit is a toolkit for statistical modelling and fitting, and together with RooStats it is used for measurements and statistical tests by most experiments in particle physics. Since one year, RooFit is being modernised. [...]
arXiv:2012.02746.- SISSA, 2020 - 6 p.
- Published in : PoS: ICHEP2020 (2020) , pp. 910 Fulltext: 2012.02746 - PDF; PoS(ICHEP2020)910 - PDF;
In : 40th International Conference on High Energy Physics (ICHEP), Prague, Czech Republic, 28 Jul - 6 Aug 2020, pp.910
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6.
(62)
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Panel discussion: Publication of likelihoods (INSPIRE, HepData, RooFit, RooStats) / Dallmeier-Tiessen, Sunje (speaker) (Humboldt-Universitaet zu Berlin (DE)) ; Whalley, Michael (speaker) (Durham University) ; Moneta, Lorenzo (speaker) (CERN) ; Cranmer, Kyle Stuart (speaker) (New York University (US))
2013 - 90. LPCC Workshops; Likelihoods for the LHC Searches External links: Talk details; Event details In : Likelihoods for the LHC Searches
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7.
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Software for statistical data analysis used in Higgs searches / Gumpert, Christian (Dresden, Tech. U.) ; Moneta, Lorenzo (CERN) ; Cranmer, Kyle (New York U.) ; Kreiss, Sven (New York U.) ; Verkerke, Wouter (NIKHEF, Amsterdam)
The analysis and interpretation of data collected by the Large Hadron Collider (LHC) requires advanced statistical tools in order to quantify the agreement between observation and theoretical models. RooStats is a project providing a statistical framework for data analysis with the focus on discoveries, confidence intervals and combination of different measurements in both Bayesian and frequentist approaches. [...]
2014 - 4 p. - Published in : J. Phys.: Conf. Ser. 490 (2014) 012229
In : 2nd International Conference on Mathematical Modeling in Physical Sciences, Prague, Czech Republic, 1 - 5 Sep 2013, pp.012229
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8.
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HistFactory: A tool for creating statistical models for use with RooFit and RooStats / Cranmer, Kyle (New York U.) ; Lewis, George (New York U.) ; Moneta, Lorenzo (CERN) ; Shibata, Akira (New York U.) ; Verkerke, Wouter (NIKHEF, Amsterdam)
The HistFactory is a tool to build parametrized probability density functions (pdfs) in the RooFit/RooStats framework based based on simple ROOT histograms organized in an XML file. [...]
CERN-OPEN-2012-016. - 2012. - 29 p.
Preprint
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9.
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The RooStats Project / Moneta, Lorenzo (CERN) ; Belasco, Kevin (CERN) ; Cranmer, Kyle (CERN) ; Lazzaro, Alfio (CERN) ; Piparo, Danilo (CERN) ; Schott, Gregory (CERN) ; Verkerke, Wouter (CERN) ; Wolf, Matthias (CERN) ; Belasco, Kevin (Princeton U.) ; Cranmer, Kyle (New York U.) et al.
RooStats is a project to create advanced statistical tools required for the analysis of LHC data, with emphasis on discoveries, confidence intervals, and combined measurements. The idea is to provide the major statistical techniques as a set of C++ classes with coherent interfaces, which can be used on arbitrary model and datasets in a common way. [...]
arXiv:1009.1003.- 2010 - Published in : PoS: ACAT2010 (2010) , pp. 057
Published version from PoS: PDF; External link: Preprint
In : 13th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Jaipur, India, 22 - 27 Feb 2010, pp.057
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10.
(48)
Optimizing weight evaluations for convolution fits in RooFit using vectorization / Olvhammar, Hanna Maria
Convolutions play an important role in high energy physics, since they are used when fitting probability density functions (PDFs) to data. [...]
CERN-STUDENTS-Note-2022-082. - 2022
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