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Statistical Methods for Data Analysis in Particle Physics

  • Luca Lista

Part of the Lecture Notes in Physics book series (LNP, volume 941)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Luca Lista
    Pages 1-23
  3. Luca Lista
    Pages 25-58
  4. Luca Lista
    Pages 59-80
  5. Luca Lista
    Pages 97-127
  6. Luca Lista
    Pages 129-141
  7. Luca Lista
    Pages 143-154
  8. Luca Lista
    Pages 155-174
  9. Luca Lista
    Pages 175-204
  10. Luca Lista
    Pages 205-249
  11. Back Matter
    Pages 251-257

About this book

Introduction

This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP).

First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether.

Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.

This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation).

 

Keywords

Bayesian Versus Frequentist Probability Theory Data Analysis in High Energy Physics Experimental Particle Physics and Data Analysis Hypothesis Testing and Discovery-based Science Modified Frequentist Approach Parameter Estimation and Uncertainties Statistics Textbook for Particle Physics Look-elsewhere effect

Authors and affiliations

  • Luca Lista
    • 1
  1. 1.INFN Sezione di NapoliNapoliItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-62840-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-319-62839-4
  • Online ISBN 978-3-319-62840-0
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site