Monte-Carlo project in F7003T (MTF133) lp 2 - 2007

• Literature: Charles Kittel and Herbert Kroemer, Thermal Physics, Freeman 1980, and material handed out during the course.
• Teacher and examiner: Hans Weber, phone. 492088, 0708592088, room E111
• Examination of Monte-Carlo project: Monte Carlo methods to be presented as a poster.
• Prerequisite: Quantum Physics (MTF067, MTF107 or MTF131) or Quantum Physics for EEIGM (MTF057).
• Course aim: After the course, the student should be able to: Write Monte Carlo programs and interpret results.
• Contents: Mean field theory, Critical exponents, Scaling theory, Monte Carlo methods.
  
• Related literature:

David S. Betts and Roy E. Turner, Introductory Statistical Mechanics
K. Binder, Monte Carlo Methods in Statistical Physics.
J.J. Binney, N.J. Dowrick, A.J. Fisher, and M.E.J. Newman, The Theory of Critical Phenomena.
John Cardy, Scaling and Renormalization in Statistical Physics.
P.M. Chaiken and T.C. Lubensky, Principals of Condensed Matter Physics.
Claude Garrod, Statistical Mechanics and Thermodynamics.
Walter Greiner, Ludwig Neise and Horst Stöcker, Thermodynamics and Statistical Mechanics
Tony Guénault, Statistical Physics
R. P. Feynman, Statistical Mechanics
F. Mandl, Statistical Physics
G. Morandi, Statistical Mechanics
Michael Plischke and Birger Bergersen, Equilibrium Statistical Physics
Fredrik Reif, Statistical and Thermal Physics
David H. Trevena, Statistical Mechanics an introduction


• Random Generators:

Random Generator (fortran)
Random Generator (c)
Ising model program using X (c) (microcanonical)
Ising model program using X (c) (canonical)
Equation 8.4 (c)


• This text is available at: http://www.mt.luth.se/~weber/kurs/kvant_monte_carlo/kursprog.html

Schedule

Last edited 2006-11-01 by Hans Weber or e-mail