Data analysis techniques for physical scientists / Claude A. Pruneau.

Format:

Book

Author/Creator:

Pruneau, Claude A., author.

Language:

English

Subjects (All):

Physical sciences--Research--Statistical methods.

Physical sciences.

Research--Statistical methods--Data processing.

Research.

Physical sciences--Data processing.

Research--Statistical methods.

Physical sciences--Research.

Statistics.

Physical Description:

xiii, 704 pages : illustrations, charts ; 26 cm

Place of Publication:

Cambridge ; New York, NY : Cambridge University Press, 2017.

Summary:

A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques. Description from publisher.

Contents:

The scientific method

Probability

Probability models

Classical inference I : estimators

Classical inference II : optimization

Classical inference III : confidence intervals and statistical tests

Bayesian inference

Basic measurements

Event reconstruction

Correlation functions

The multiple facets of correlation functions

Data correction methods

Monte Carlo methods

Collision and detector modeling.

Notes:

Includes bibliographical references (pages 687-697) and index.

ISBN:

1108416780

9781108416788

OCLC:

991683544