Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning
Author:   Ilya Narsky (MathWorks, Natick, USA) ,  Frank C. Porter (California Institute of Technology, Pasadena, USA)
Publisher:   Wiley-VCH Verlag GmbH
ISBN:  

9783527410866


Pages:   459
Publication Date:   13 November 2013
Format:   Paperback
Availability:   To order   Availability explained
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Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning


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Overview

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.

Full Product Details

Author:   Ilya Narsky (MathWorks, Natick, USA) ,  Frank C. Porter (California Institute of Technology, Pasadena, USA)
Publisher:   Wiley-VCH Verlag GmbH
Imprint:   Blackwell Verlag GmbH
Dimensions:   Width: 17.00cm , Height: 2.30cm , Length: 24.00cm
Weight:   0.980kg
ISBN:  

9783527410866


ISBN 10:   3527410864
Pages:   459
Publication Date:   13 November 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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The authors are experts in the use of statistics in particle physics data analysis. Frank C. Porter is Professor at Physics at the California Institute of Technology and has lectured extensively at CalTech, the SLAC Laboratory at Stanford, and elsewhere. Ilya Narsky is Senior Matlab Developer at The MathWorks, a leading developer of technical computing software for engineers and scientists, and the initiator of the StatPatternRecognition, a C++ package for statistical analysis of HEP data. Together, they have taught courses for graduate students and postdocs.

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