Data analysis in high energy physics : a practical guide to statistical methods

著者

    • Behnke, Olaf

書誌事項

Data analysis in high energy physics : a practical guide to statistical methods

edited by Olaf Behnke ... [et al.]

Wiley-VCH, c2013

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice for typical questions and problems. The basic methods for inferring results from data are presented as well as tools for advanced tasks such as improving the signal-to-background ratio, correcting detector effects, determining systematics and many others. Concrete applications are discussed in analysis walkthroughs. Each chapter is supplemented by numerous examples and exercises and by a list of literature and relevant links. The book targets a broad readership at all career levels - from students to senior researchers. An accompanying website provides more algorithms as well as up-to-date information and links. * Free solutions manual available for lecturers at www.wiley-vch.de/supplements/

目次

1 Fundamental concepts Roger Barlow 2 Parameter estimation Olaf Behnke and Lorenzo Moneta 3 Hypothesis testing Gregory Schott 4 Interval Estimation Luc Demortier 5 Classification Helge Voss 6 Unfolding Volker Blobel 7 Constrained fits Benno List 8 How to deal with systematic uncertainties Rainer Wanke 9 Theory uncertainties Markus Diehl 10 Statistical methods commonly used in high energy physics Carsten Hensel and Kevin Kroninger 11 Analysis walk-throughs Aart Heijboer and Ivo van Vulpen 12 Applications in astronomy Harrison B. Prosper

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