A Lattice Monte-Carlo Approach to Two Flavors PNJL Model
A Lattice Monte-Carlo Approach to Two Flavors PNJL Model
Durotun M. S. Z. Raihan P. H.
Sepuluh Nopember Institute of Technology
Bintoro A. Subagyo
Sepuluh Nopember Institute of Technology
Agus Purwanto
Sepuluh Nopember Institute of Technology
DOI: https://doi.org/10.19184/jid.v27i2.60013
ABSTRACT
We extend the Monte Carlo PNJL framework by introducing nearest-neighbor interactions between fluctuating sub-volumes, resulting in a spatially structured lattice model. A two-dimensional implementation is developed and sampled using the Metropolis algorithm, together with several computational optimizations to improve simulation efficiency. The resulting framework reproduces the expected qualitative behavior of PNJL thermodynamics, including the deconfinement crossover in the Polyakov loop and the emergence of spatial correlations in the chiral field induced by the lattice interaction. In addition to validating the implementation, the Metropolis acceptance rate is found to exhibit a reproducible two-peak structure that brackets the crossover region, suggesting that algorithmic observables may contain information about the underlying thermodynamics. This framework provides a computational foundation for studying spatially correlated fluctuations beyond the mean-field approximation in effective QCD models.
Keywords: PNJL model, Monte Carlo simulation, field fluctuations, lattice model..
Published
31-07-2026
Issue
Vol. 27 No. 2 2026: Jurnal ILMU DASAR
Pages
111-120
License
Copyright (c) 2026 Jurnal ILMU DASAR