Kniha Statistical Analysis Techniques in Particle Physics - Fits, Density Estimation and Supervised Learning Ilya Narsky

Statistical Analysis Techniques in Particle Physics - Fits, Density Estimation and Supervised Learning

Autor: Ilya Narsky
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: 50 % šance
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The first book written specifically with physicists in mind on analysis techniques in particle physi...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2013
Stránek
459
EAN
9783527410866
ISBN
3527410864
Enbook ID
02086281
Hmotnost
866
Rozměry
165 x 247 x 26

Kompletní popis

The first book written specifically with physicists in mind on analysis techniques in particle physics with an emphasis on machine learning techniques.§Based on lectures given by the authors at Stanford and Caltech, this practical approach shows by means of analysis examples how observables are extracted from data, how signal and background are estimated, and how accurate error estimates are obtained exploiting uni- and multivariate analysis techniques, such as non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision trees, and ensembles of classifiers. It includes simple code snippets that run on popular software suites such as Root and Matlab, and either include the codes for generating data or make use of publically available data that can be downloaded from the Web.§Primarily aimed at master and very advanced undergraduate students, this text is also intended for study and research.

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