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Published on: April 12, 2019
A simple protocol for the probability weights of the simulated tempering algorithm: applications to first-order phase
1Departamento de Física, Universidade Federal do Paraná, CP 19044, 81531-980 Curitiba-PR, Brazil. fiore@fisica.ufpr.br
Simulated tempering (ST) simplifies sampling complex systems by using transfer matrix eigenvalues for acceptance weights. This method accurately addresses challenging first-order phase transitions, especially at low temperatures.
Area of Science:
- Computational physics
- Statistical mechanics
- Phase transitions
Background:
- Simulated tempering (ST) is crucial for sampling complex systems with difficult phase spaces.
- Traditional ST methods involve computationally intensive calculations for acceptance probabilities.
- Efficient simulation of systems with large free-energy barriers, particularly at low temperatures, remains a challenge.
Purpose of the Study:
- To simplify the implementation of simulated tempering.
- To accurately compute acceptance probabilities using a more efficient method.
- To assess the effectiveness of the improved ST method for simulating first-order phase transitions.
Main Methods:
- Calculating acceptance probabilities from the largest eigenvalue of the transfer matrix.
- Employing direct Monte Carlo simulations for eigenvalue computation.
- Testing the method on Ising, Blume-Capel, Blume-Emery-Griffiths, and Bell-Lavis liquid water models.
Main Results:
- Acceptance probabilities are accurately estimated using the largest eigenvalue of the transfer matrix.
- The simplified ST algorithm demonstrates good performance in simulations.
- The method effectively handles systems with strong first-order phase transitions at low temperatures.
Conclusions:
- The proposed method significantly simplifies simulated tempering algorithm implementation.
- This approach provides an accurate and efficient way to determine acceptance weights.
- Simulated tempering, enhanced by this method, is a promising tool for studying strong first-order phase transitions.
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