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 Doron Cohen - arXiv
These are notes for quantum and statistical mechanics courses. Topics covered: master equations; non-equilibrium processes; fluctuation theorems; linear response theory; adiabatic transport; the Kubo formalism; scattering approach to mesoscopics.
(7999 views)

by Soham Biswas - arXiv
Dynamics of Ising models is a much studied phenomenon and has emerged as a rich field of present-day research. An important dynamical feature commonly studied is the quenching phenomenon below the critical temperature ...
(5356 views)

by Igor Vilfan - The J. Stefan Institute
These lectures cover classical and quantum statistical mechanics with some emphasis on classical spin systems. The author gives also an introduction to Bose condensation and superfluidity but he does not discuss phenomena specific to Fermi particles.
(9703 views)

by David Tong - University of Cambridge
This is an introductory course on Statistical Mechanics and Thermodynamics given to final year undergraduates. Topics: Fundamentals of Statistical Mechanics; Classical Gases; Quantum Gases; Classical Thermodynamics; Phase Transitions.
(12197 views)