A Beyond Mean Field Approach to Yang-Mills Thermodynamics
Pracheta Singha, Rajarshi Ray, Chowdhury Aminul Islam, Munshi G, Mustafa

TL;DR
This paper introduces a beyond mean field method for calculating Yang-Mills thermodynamics, incorporating n-body gluon effects and a background Polyakov field, resulting in more accurate predictions aligned with lattice data.
Contribution
It develops a novel beyond mean field approach that improves the theoretical modeling of Yang-Mills thermodynamics compared to previous mean field studies.
Findings
Results align well with lattice data across temperatures
Physically consistent thermodynamic predictions
Inclusion of n-body gluon contributions enhances accuracy
Abstract
We propose a beyond mean field approach to evaluate Yang-Mills thermodynamics from the partition function with n-body gluon contribution, in the presence of a uniform background Polyakov field. Using a path integral based formalism, we obtain, unlike the previous mean field studies within this model framework, physically consistent results with good agreement to the lattice data throughout the temperature range.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHigh-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions · Physics of Superconductivity and Magnetism
