Probability for Physicists

Simon Širca (Autor)

Buch | Hardcover

XIV, 415 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-31609-3 (ISBN)

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This book is designed as a practical and intuitive introduction to probability, statistics and random quantities for physicists. The book aims at getting to the main points by a clear, hands-on exposition supported by well-illustrated and worked-out examples. A strong focus on applications in physics and other natural sciences is maintained throughout. In addition to basic concepts of random variables, distributions, expected values and statistics, the book discusses the notions of entropy, Markov processes, and fundamentals of random number generation and Monte-Carlo methods.

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 of the 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).

Basic Terminology.- Probability Distributions.- Special Continuous Probability Distributions.- Expected Values.- Special Discrete Probability Distributions.- Convolution.- Samples.- Estimation of Parameters and Statistical Tests.- Regression.- Entropy.- Markov Processes.- Generation of Pseudorandom Numbers.- Monte Carlo Method.- Stochastic Population Modeling.

"Sirca ... provides a thorough background; sections cover fundamentals of probability analysis, statistical distributions, and applications of the theories using computer-based algorithms. ... The work includes useful graphs, four appendixes covering random number generation, and tables of normal distributions. There are extensive references and a valuable index. Summing Up: Recommended. Graduate students; researchers/faculty; professionals." (N. Sadanand, Choice, Vol. 54 (4), December, 2016)

Erscheinungsdatum	08.10.2016
Reihe/Serie	Graduate Texts in Physics
Zusatzinfo	XIV, 415 p. 142 illus., 29 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
	Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
Schlagworte	Entropy of physical systems • Generation of pseudorandom numbers • Markov Processes • Mathematical Applications in the Physical Sciences • Mathematical methods in physics • Monte Carlo Method • Physics and Astronomy • probability distributions • Probability theory and stochastic processes • Probability theory in physics • Random variables and processes • Regression calculations • Statistical Physics, Dynamical Systems and Complex • statistical tests • Stochastic population modeling • theoretical and computational chemistry
ISBN-10	3-319-31609-5 / 3319316095
ISBN-13	978-3-319-31609-3 / 9783319316093
Zustand	Neuware