Statistical Methods For Data Analysis In Particle Physics

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Statistical Methods for Data Analysis in Particle Physics

Author : Luca Lista
Publisher : Springer
Page : 257 pages
File Size : 45,7 Mb
Release : 2017-10-13
Category : Science
ISBN : 9783319628400

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Statistical Methods for Data Analysis in Particle Physics by Luca Lista Pdf

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).

Data Analysis in High Energy Physics

Author : Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 55,5 Mb
Release : 2013-08-30
Category : Science
ISBN : 9783527653430

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Data Analysis in High Energy Physics by Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius Pdf

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/

Statistical Analysis Techniques in Particle Physics

Author : Ilya Narsky,Frank C. Porter
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 48,6 Mb
Release : 2013-10-24
Category : Science
ISBN : 9783527677290

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Statistical Analysis Techniques in Particle Physics by Ilya Narsky,Frank C. Porter Pdf

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.

Statistical Data Analysis

Author : Glen Cowan
Publisher : Oxford University Press
Page : 218 pages
File Size : 53,7 Mb
Release : 1998
Category : Mathematics
ISBN : 9780198501565

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Statistical Data Analysis by Glen Cowan Pdf

This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are takenfrom particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques,statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

Data Analysis in High Energy Physics

Author : Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 48,9 Mb
Release : 2013-08-19
Category : Science
ISBN : 9783527410583

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Data Analysis in High Energy Physics by Olaf Behnke,Kevin Kröninger,Grégory Schott,Thomas Schörner-Sadenius Pdf

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/

Statistical Methods for Data Analysis

Author : Luca Lista
Publisher : Springer Nature
Page : 360 pages
File Size : 53,6 Mb
Release : 2023-04-26
Category : Science
ISBN : 9783031199349

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Statistical Methods for Data Analysis by Luca Lista Pdf

This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book 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). It starts with 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. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits. The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.

Data Analysis Techniques for High-Energy Physics

Author : R. Frühwirth,M. Regler
Publisher : Cambridge University Press
Page : 412 pages
File Size : 54,5 Mb
Release : 2000-08-17
Category : Science
ISBN : 0521635489

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Data Analysis Techniques for High-Energy Physics by R. Frühwirth,M. Regler Pdf

Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments.

Statistics for Nuclear and Particle Physicists

Author : Louis Lyons
Publisher : Cambridge University Press
Page : 244 pages
File Size : 40,6 Mb
Release : 1989-04-06
Category : Science
ISBN : 0521379342

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Statistics for Nuclear and Particle Physicists by Louis Lyons Pdf

This book, written by a non-statistician for non-statisticians, emphasises the practical approach to those problems in statistics which arise regularly in data analysis situations in nuclear and high-energy physics experiments. Rather than concentrating on formal proofs of theorems, an abundant use of simple examples illustrates the general ideas which are presented, showing the reader how to obtain the maximum information from the data in the simplest manner. Possible difficulties with the various techniques, and pitfalls to be avoided, are also discussed. Based on a series of lectures given by the author to both students and staff at Oxford, this common-sense approach to statistics will enable nuclear physicists to understand better how to do justice to their data in both analysis and interpretation.

Statistical Methods in Experimental Physics

Author : Frederick James
Publisher : World Scientific
Page : 366 pages
File Size : 54,6 Mb
Release : 2006
Category : Science
ISBN : 9789812567956

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Statistical Methods in Experimental Physics by Frederick James Pdf

The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis. This second edition contains all the important material of the first, much of it unavailable from any other sources. In addition, many chapters have been updated with considerable new material, especially in areas concerning the theory and practice of confidence intervals, including the important Feldman-Cousins method. Both frequentist and Bayesian methodologies are presented, with a strong emphasis on techniques useful to physicists and other scientists in the interpretation of experimental data and comparison with scientific theories. This is a valuable textbook for advanced graduate students in the physical sciences as well as a reference for active researchers.

Probability and Statistics for Particle Physics

Author : Carlos Maña
Publisher : Springer
Page : 244 pages
File Size : 45,9 Mb
Release : 2017-04-21
Category : Science
ISBN : 9783319557380

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Probability and Statistics for Particle Physics by Carlos Maña Pdf

This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduate-level courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics.

Data Analysis Techniques for Physical Scientists

Author : Claude A. Pruneau
Publisher : Cambridge University Press
Page : 719 pages
File Size : 40,5 Mb
Release : 2017-10-05
Category : Language Arts & Disciplines
ISBN : 9781108416788

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Data Analysis Techniques for Physical Scientists by Claude A. Pruneau Pdf

A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.

Statistical Data Analysis for the Physical Sciences

Author : Adrian Bevan
Publisher : Cambridge University Press
Page : 128 pages
File Size : 46,7 Mb
Release : 2013-05-09
Category : Science
ISBN : 9781107067592

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Statistical Data Analysis for the Physical Sciences by Adrian Bevan Pdf

Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material.

Data Analysis

Author : Siegmund Brandt
Publisher : Springer Science & Business Media
Page : 523 pages
File Size : 52,8 Mb
Release : 2014-02-14
Category : Science
ISBN : 9783319037622

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Data Analysis by Siegmund Brandt Pdf

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.

Classical Methods of Statistics

Author : Otto J.W.F. Kardaun
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 43,9 Mb
Release : 2005-09-16
Category : Science
ISBN : 3540211152

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Classical Methods of Statistics by Otto J.W.F. Kardaun Pdf

Classical Methods of Statistics is a guidebook combining theory and practical methods. It is especially conceived for graduate students and scientists who are interested in the applications of statistical methods to plasma physics. Thus it provides also concise information on experimental aspects of fusion-oriented plasma physics. In view of the first three basic chapters it can be fruitfully used by students majoring in probability theory and statistics. The first part deals with the mathematical foundation and framework of the subject. Some attention is given to the historical background. Exercises are added to help readers understand the underlying concepts. In the second part, two major case studies are presented which exemplify the areas of discriminant analysis and multivariate profile analysis, respectively. To introduce these case studies, an outline is provided of the context of magnetic plasma fusion research. In the third part an overview is given of statistical software; separate attention is devoted to SAS and S-PLUS. The final chapter presents several datasets and gives a description of their physical setting. Most of these datasets were assembled at the ASDEX Upgrade Tokamak. All of them are accompanied by exercises in form of guided (minor) case studies. The book concludes with translations of key concepts into several languages.

Statistics

Author : R. J. Barlow
Publisher : John Wiley & Son Limited
Page : 204 pages
File Size : 41,6 Mb
Release : 1989-09-11
Category : Science
ISBN : 0471922943

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Statistics by R. J. Barlow Pdf

The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A.C. Phillips Computing for Scientists R. J. Barlow and A. R. Barnett Written by a physicist, Statistics is tailored to the needs of physical scientists, containing and explaining all they need to know. It concentrates on parameter estimation, especially the methods of Least Squares and Maximum Likelihood, but other techniques, such as hypothesis testing, Bayesian statistics and non-parametric methods are also included. Intended for reasonably numerate scientists it contains all the basic formulae, their derivations and applications, together with some more advanced ones. Statistics features: * Comprehensive coverage of the essential techniques physical scientists are likely to need. * A wealth of examples, and problems with their answers. * Flexible structure and organisation allows it to be used as a course text and a reference. * A review of the basics, so that little prior knowledge is required.