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arxiv: 1711.00006 · v2 · pith:V3HRH6RHnew · submitted 2017-10-31 · ❄️ cond-mat.soft · physics.comp-ph

Better than counting: Density profiles from force sampling

classification ❄️ cond-mat.soft physics.comp-ph
keywords densitymethodcountingdynamicsforceprofilesalternativebetter
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Calculating one-body density profiles in equilibrium via particle-based simulation methods involves counting of events of particle occurrences at (histogram-resolved) space points. Here we investigate an alternative method based on a histogram of the local force density. Via an exact sum rule the density profile is obtained with a simple spatial integration. The method circumvents the inherent ideal gas fluctuations. We have tested the method in Monte Carlo, Brownian Dynamics and Molecular Dynamics simulations. The results carry a statistical uncertainty smaller than that of the standard, counting, method, reducing therefore the computation time.

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