Data Analysis Techniques for Physical Scientists

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Claude A. PruneauCambridge University Press, 10/5/2017EAN 9781108416788, ISBN10: 1108416780Hardcover, 716 pages, 25.4 x 19.3 x 3.6 cmLanguage: EnglishA 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.PrefaceHow to read this book1. The scientific methodPart I. Foundation in Probability and Statistics2. Probability3. Probability models4. Classical inference Iestimators5. Classical inference IIoptimization6. Classical inference IIIconfidence intervals and statistical tests7. Bayesian inferencePart II. Measurement Techniques8. Basic measurements9. Event reconstruction10. Correlation functions11. The multiple facets of correlation functions12. Data correction methodsPart III. Simulation Techniques13. Monte Carlo methods14. Collision and detector modelingList of referencesIndex. Show more