Statistical Methods for Data Analysis in Particle Physics
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 and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data.
1126366158
Statistical Methods for Data Analysis in Particle Physics
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 and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data.
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Statistical Methods for Data Analysis in Particle Physics

Statistical Methods for Data Analysis in Particle Physics

by Luca Lista
Statistical Methods for Data Analysis in Particle Physics

Statistical Methods for Data Analysis in Particle Physics

by Luca Lista

eBook1st ed. 2016 (1st ed. 2016)

$49.99 

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Overview

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 and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data.

Product Details

ISBN-13: 9783319201764
Publisher: Springer-Verlag New York, LLC
Publication date: 07/24/2015
Series: Lecture Notes in Physics , #909
Sold by: Barnes & Noble
Format: eBook
File size: 3 MB

About the Author

Luca Lista works on the CMS experiment at CERN's Large Hadron Collider, specifically on the search for dark matter and on top-quark physics. He has been involved in testing the Standard Model of particle physics and in the search for the Higgs boson.

Table of Contents

Preface.- Probability theory.- Probability Distribution Functions.- Bayesian approach to probability.- Random numbers and Monte Carlo Methods.- Parameter estimate.- Confidence intervals.- Hypothesis tests.- Upper Limits.- Bibliography.
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