Microcanonical Monte Carlo Study of One Dimensional Self-Gravitating Lattice Gas Models
J. M. Maciel, M. A. Amato, T. M. Rocha Filho, and A. D. Figueiredo

TL;DR
This paper uses Microcanonical Monte Carlo simulations to explore one-dimensional self-gravitating lattice gas models, examining the effects of particle size, system geometry, and packing fraction on thermodynamic behaviors like negative heat capacity.
Contribution
It introduces a novel $1/r$ model with linear symmetry and compares the effects of hard-core potentials and geometry on gravitational system properties.
Findings
Low packing fractions preserve negative heat capacity.
High packing fractions cause models to resemble known mean field and 1D systems.
Hard-core particles influence system density and thermodynamic behavior.
Abstract
In this study we present a Microcanonical Monte Carlo investigation of one dimensional self-gravitating toy models. We study the effect of hard-core potentials and compare to those results obtained with softening parameters and also the effect of the geometry of the models. In order to study the effect of the geometry and the borders in the system we introduce a model with the symmetry of motion in a line instead of a circle, which we denominate as model. The hard-core particle potential introduces the effect of the size of particles and, consequently, the effect of the density of the system that is redefined in terms of the packing fraction of the system. The latter plays a role similar to the softening parameter in the softened particles' case. In the case of low packing fractions both models with hard-core particles show a behavior that keeps the intrinsic properties…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Theoretical and Computational Physics · Advanced Thermodynamics and Statistical Mechanics
