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Data analysis techniques for physical scientists
Hardback
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- Book Synopsis
- This is a comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced students and 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 given to 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. This title is also available as open access on Cambridge Core.
- About The Author
- Claude A. Pruneau is a Professor of Physics at the Wayne State University, Michigan, from where he received the 2006 Excellence in Teaching Presidential Award. He is also a member of the ALICE collaboration, and conducts an active research program in the study of the Quark Gluon Plasma produced in relativistic heavy ion collisions at the CERN Large Hadron Collider. He has worked as a Research Fellow at both Atomic Energy for Canada Limited and McGill University, Canada, and is a member of the American Physical Society, Canadian Association of Physicists and the Union of Concerned Scientists.
- Product Details
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- ISBN
- 9781108416788
- Format
- Hardback
- Publisher
- Cambridge University Press, (05 October 2017)
- Number of Pages
- 716
- Weight
- 1700 grams
- Language
- English
- Dimensions
- 253 x 193 x 35 mm
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