An Introduction to Monte Carlo Simulations in Statistical Physics
by K. P. N. Murthy
Publisher: arXiv 2003
Number of pages: 92
Description:
A brief introduction to the technique of Monte Carlo simulations in statistical physics is presented. The topics covered include statistical ensembles random and pseudo random numbers, random sampling techniques, importance sampling, Markov chain, Metropolis algorithm, continuous phase transition, statistical errors from correlated and uncorrelated data, finite size scaling, n-fold way, critical slowing down, blocking technique,percolation, cluster algorithms, etc.
Download or read it online for free here:
Download link
(800KB, PDF)
Similar books

by Flavio S. Nogueira - arXiv
These notes provide a self-contained introduction to field theoretic methods employed in the study of classical and quantum phase transitions. Classical phase transitions occur at a regime where quantum fluctuations do not play an important role.
(9731 views)

by Sacha Friedli, Yvan Velenik - Cambridge University Press
This motivating textbook gives a friendly, rigorous introduction to fundamental concepts in equilibrium statistical mechanics, covering a selection of specific models, including the Curie-Weiss and Ising models, the Gaussian free field, O(n) models.
(4464 views)

by Peter E. Blöchl - Clausthal University of Technology
From the table of contents: Entropy and Information; The ideal Boltzmann gas; Equilibrium; Thermodynamic Processes; The Language of Thermodynamics; The Language of Statistical Physics; Non-interacting Model Systems; Non-interacting particles.
(8707 views)

by Oleg Kupervasser - arXiv
Statistical classical mechanics and quantum mechanics are two developed theories that contain a number of paradoxes. However the given paradoxes can be resolved within the framework of the existing physics, without introduction of new laws.
(14944 views)