The structure function describes how energy/momentum is distributed among the quarks/gluon inside a nucleon. This is estimated from the deep inelastic scattering of electrons or muon with the nucleon, or even with nucleon-nucleon scattering. This bo...Lasīt vairāk
This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book provides the reader with the main...Lasīt vairāk
This book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and detector tec...Lasīt vairāk
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This concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory an...Lasīt vairāk
Assuming that readers are already familiar with basic probability theory and basic methods in parameter estimation such as maximum likelihood, Narsky and Porter introduce physicists to the tools of statistics that have been developed in an environmen...Lasīt vairāk
(Izdošanas datums: 08-Nov-2013, Other digital carrier, Izdevniecība: Wiley-VCH Verlag GmbH, ISBN-13: 9783527677320)
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 covera...Lasīt vairāk
