Statistical analysis techniques in particle physics: fits, density and supervised learning

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.

Detalles Bibliográficos
Autores principales: Narsky, Ilya, Porter, Frank C
Lenguaje:eng
Publicado: Wiley-VCH 2013
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1002/9783527677320
http://cds.cern.ch/record/1563276
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author Narsky, Ilya
Porter, Frank C
author_facet Narsky, Ilya
Porter, Frank C
author_sort Narsky, Ilya
collection CERN
description Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
id cern-1563276
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Wiley-VCH
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spelling cern-15632762021-04-21T22:34:44Zdoi:10.1002/9783527677320http://cds.cern.ch/record/1563276engNarsky, IlyaPorter, Frank CStatistical analysis techniques in particle physics: fits, density and supervised learningMathematical Physics and MathematicsModern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.Wiley-VCHoai:cds.cern.ch:15632762013-12-16
spellingShingle Mathematical Physics and Mathematics
Narsky, Ilya
Porter, Frank C
Statistical analysis techniques in particle physics: fits, density and supervised learning
title Statistical analysis techniques in particle physics: fits, density and supervised learning
title_full Statistical analysis techniques in particle physics: fits, density and supervised learning
title_fullStr Statistical analysis techniques in particle physics: fits, density and supervised learning
title_full_unstemmed Statistical analysis techniques in particle physics: fits, density and supervised learning
title_short Statistical analysis techniques in particle physics: fits, density and supervised learning
title_sort statistical analysis techniques in particle physics: fits, density and supervised learning
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1002/9783527677320
http://cds.cern.ch/record/1563276
work_keys_str_mv AT narskyilya statisticalanalysistechniquesinparticlephysicsfitsdensityandsupervisedlearning
AT porterfrankc statisticalanalysistechniquesinparticlephysicsfitsdensityandsupervisedlearning

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