Overview
- Gives a quick and intuitive introduction to the key concepts of probability, statistics and randomness
- Covers the basics of entropy, Markov processes, Monte-Carlo methods and stochastic population modeling
- Supported by illustrative, physics-focused examples
- Includes elaborate, fully solved end-of-chapter problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Graduate Texts in Physics (GTP)
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Table of contents (14 chapters)
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Front Matter
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Fundamentals of Probability and Probability Distributions
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Front Matter
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Determination of Distribution Parameters
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Front Matter
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Special Applications of Probability
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Front Matter
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Back Matter
Keywords
About this book
Reviews
Authors and Affiliations
About the author
Simon Sirca studied physics at the Faculty of Mathematics and Physics, University of Ljubljana, and acquired his first research experience as a young researcher at the Jozef Stefan Institute in Ljubljana and the Institute for Nuclear Physics at the University of Mainz, Germany, concluding his PhD work with the thesis Axial form-factor of the nucleon from coincidence pion electroproduction at low Q2. He was a postdoctoral research associate at the Massachusetts Institute of Technology and the Thomas Jefferson National Accelerator Facility (Jefferson Lab) in the USA. His main research is in the field of hadronic structure and dynamics as explored by scattering of electrons on light nuclei, exploiting state-of-the-art polarized beams, polarized targets, and techniques of recoil polarimetry. He is also involved in theoretical work on quark models of hadrons, with the focus on electroweak processes like pion electroproduction in the nucleon resonance region. He is the head ofthe research group Structure of Hadronic Systems that has been active in the OOPS and BLAST Collaborations at MIT, a collaboration of Jefferson Lab, and the A1 Collaboration and University of Mainz. He is an Associate Professor at the Faculty of Mathematics and Physics, University of Ljubljana, where he has been teaching numerous courses in Mathematical Physics, Modern Physics and Mathematical Physics (Computational Physics).
Bibliographic Information
Book Title: Probability for Physicists
Authors: Simon Sirca
Series Title: Graduate Texts in Physics
DOI: https://doi.org/10.1007/978-3-319-31611-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-31609-3Published: 30 May 2016
Softcover ISBN: 978-3-319-81078-2Published: 30 May 2018
eBook ISBN: 978-3-319-31611-6Published: 20 May 2016
Series ISSN: 1868-4513
Series E-ISSN: 1868-4521
Edition Number: 1
Number of Pages: XIV, 415
Number of Illustrations: 113 b/w illustrations, 29 illustrations in colour
Topics: Complex Systems, Mathematical Methods in Physics, Probability Theory and Stochastic Processes, Mathematical Applications in the Physical Sciences, Theoretical and Computational Chemistry, Statistical Physics and Dynamical Systems