English

Efficient implementation of the Wang-Landau algorithm for systems with length-scalable potential energy functions

Statistical Mechanics 2019-02-22 v2 Computational Physics

Abstract

We consider a class of systems where NN identical particles with positions q1,...,qN{\bf q}_1,...,{\bf q}_N and momenta p1,...,pN{\bf p}_1,...,{\bf p}_N are enclosed in a box of size LL, and exhibit the scaling U(Lr1,...,LrN)=α(L)U(r1,...,rN)\mathcal{U}(L{\bf r}_1,...,L{\bf r}_N)=\alpha(L)\, \mathcal{U}({\bf r}_1,...,{\bf r}_N) for the associated potential energy function U(q1,...,qN)\mathcal{U}({\bf q}_1,...,{\bf q}_N). For these systems, we propose an efficient implementation of the Wang-Landau algorithm for evaluating thermodynamic observables involving energy and volume fluctuations in the microcanonical description, and temperature and volume fluctuations in the canonical description. This requires performing the Wang-Landau simulation in a scaled box of unit size and evaluating the density of states corresponding to the potential energy part only. To demonstrate the efficacy of our approach, as example systems, we consider Padmanabhan's binary star model and an ideal gas trapped in a harmonic potential within the box.

Keywords

Cite

@article{arxiv.1810.11623,
  title  = {Efficient implementation of the Wang-Landau algorithm for systems with length-scalable potential energy functions},
  author = {Santosh Kumar and Girish Kumar and Rohit S. Chandramouli and Shashank Anand},
  journal= {arXiv preprint arXiv:1810.11623},
  year   = {2019}
}

Comments

Published version, 7 Figures, Figures 1, 2, 3, 5 and 6 are with grid lines

R2 v1 2026-06-23T04:54:28.063Z