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arXiv · 1004.2840

Robust Parameter Selection for Parallel Tempering

Firas Hamze·Neil Dickson·Kamran Karimi
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Abstract

This paper describes an algorithm for selecting parameter values (e.g. temperature values) at which to measure equilibrium properties with Parallel Tempering Monte Carlo simulation. Simple approaches to choosing parameter values can lead to poor equilibration of the simulation, especially for Ising spin systems that undergo $1^st$-order phase transitions. However, starting from an initial set of parameter values, the careful, iterative respacing of these values based on results with the previous set of values greatly improves equilibration. Example spin systems presented here appear in the context of Quantum Monte Carlo.

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Firas Hamze, Neil Dickson, Kamran Karimi. 2010-04-16. Robust Parameter Selection for Parallel Tempering. https://doi.org/10.1142/s0129183110015361

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