Data Analysis Techniques for Physical Scientists

Data Analysis Techniques for Physical Scientists
Author: Claude A. Pruneau
Publsiher: Unknown
Total Pages: 704
Release: 2017
Genre: Mathematical statistics
ISBN: 1108266061

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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.

Data Analysis Techniques for Physical Scientists

Data Analysis Techniques for Physical Scientists
Author: Claude A. Pruneau
Publsiher: Cambridge University Press
Total Pages: 719
Release: 2017-10-05
Genre: Language Arts & Disciplines
ISBN: 9781108416788

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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.

Data Analysis for Physical Scientists

Data Analysis for Physical Scientists
Author: Les Kirkup
Publsiher: Unknown
Total Pages: 510
Release: 2012
Genre: Electronic books
ISBN: 1139159887

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"The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excel® 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book"--Provided by publisher.

Data Analysis for Scientists and Engineers

Data Analysis for Scientists and Engineers
Author: Edward L. Robinson
Publsiher: Princeton University Press
Total Pages: 408
Release: 2016-09-20
Genre: Science
ISBN: 9781400883066

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Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering. In-depth discussion of data analysis for scientists and engineers Coverage of both frequentist and Bayesian approaches to data analysis Extensive look at analysis techniques for time-series data and images Detailed exploration of linear and nonlinear modeling of data Emphasis on error analysis Instructor's manual (available only to professors)

Data Analysis for Physical Scientists

Data Analysis for Physical Scientists
Author: Les Kirkup
Publsiher: Cambridge University Press
Total Pages: 527
Release: 2012-02-16
Genre: Computers
ISBN: 9780521883726

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Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.

Data Analysis for Physical Scientists

Data Analysis for Physical Scientists
Author: Les Kirkup
Publsiher: Unknown
Total Pages: 528
Release: 2014-05-14
Genre: Electronic spreadsheets
ISBN: 1139160885

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Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.

Data Analysis with Excel

Data Analysis with Excel
Author: Les Kirkup
Publsiher: Cambridge University Press
Total Pages: 468
Release: 2002-03-07
Genre: Computers
ISBN: 0521797373

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An essential introduction to data analysis techniques using spreadsheets, for undergraduate and graduate students.

Data Analysis Techniques for High Energy Physics

Data Analysis Techniques for High Energy Physics
Author: R. Frühwirth,M. Regler,R. K. Bock,H. Grote,D. Notz
Publsiher: Cambridge University Press
Total Pages: 408
Release: 2000-08-07
Genre: Science
ISBN: 0521632196

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Now thoroughly revised and up-dated, this volume describes techniques for handling and analyzing data obtained from high-energy and nuclear physics experiments. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a large background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects such as particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods useful for the physical interpretation and presentation of results.