Data Analysis Techniques for Physical Scientists

Data Analysis Techniques for Physical Scientists PDF Author: Claude A. Pruneau
Publisher: Cambridge University Press
ISBN: 1108267882
Category : Science
Languages : en
Pages :

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Book Description
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 PDF Author: Claude A. Pruneau
Publisher: Cambridge University Press
ISBN: 1108267882
Category : Science
Languages : en
Pages :

Get Book

Book Description
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 PDF Author: Claude A. Pruneau
Publisher:
ISBN: 9781108266062
Category : Mathematical statistics
Languages : en
Pages : 704

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Book Description
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 for Physical Scientists

Data Analysis for Physical Scientists PDF Author: Les Kirkup
Publisher:
ISBN: 9781139159883
Category : Electronic books
Languages : en
Pages : 510

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Book Description
"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 PDF Author: Edward L. Robinson
Publisher: Princeton University Press
ISBN: 1400883067
Category : Science
Languages : en
Pages : 408

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Book Description
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 PDF Author: Les Kirkup
Publisher:
ISBN: 9781139160889
Category : Electronic spreadsheets
Languages : en
Pages : 528

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Book Description
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 PDF Author: Les Kirkup
Publisher: Cambridge University Press
ISBN: 0521883725
Category : Mathematics
Languages : en
Pages : 527

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Book Description
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 PDF Author: Les Kirkup
Publisher: Cambridge University Press
ISBN: 1107377455
Category : Science
Languages : en
Pages :

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Book Description
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.

Statistical Data Analysis for the Physical Sciences

Statistical Data Analysis for the Physical Sciences PDF Author: Adrian Bevan
Publisher: Cambridge University Press
ISBN: 1107067596
Category : Science
Languages : en
Pages :

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Book Description
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 Techniques for Nuclear and Particle Physicists

Data Analysis Techniques for Nuclear and Particle Physicists PDF Author: Claude Pruneau
Publisher: CRC Press
ISBN: 9781482239737
Category : Mathematics
Languages : en
Pages : 525

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Book Description
This is an advanced data analysis textbook for scientists specializing in the areas of particle physics, nuclear physics, and related subfields. As a practical guide for robust, comprehensive data analysis, it focuses on realistic techniques to explain instrumental effects. The topics are relevant for engineers, scientists, and astroscientists working in the fields of geophysics, chemistry, and the physical sciences. The book serves as a reference for more senior scientists while being eminently accessible to advanced undergraduate and graduate students.

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering PDF Author: Douglas G. Martinson
Publisher: Cambridge University Press
ISBN: 1107029767
Category : Computers
Languages : en
Pages : 631

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Book Description
Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.