Linear confinement in the partially-deconfined phase

Code and data used in the publication Linear confinement in the partially-deconfined phase (arxiv:2208.14402) by Gautam, Hanada, Holden, and Rinaldi.

Simulation code

The Fortran F90 code, based on LAPACK, is in the simulation-code folder. The folder includes 2 versions of the code (with and without OPENMP directives for multi threading of loops) and a Makefile.

Phase analysis

The python code to do Bayesian analysis of the phase distribution described in Section 4 of the paper is in the phase-analysis folder. The sub-folder m-values include the results of the analysis.

Correlator analysis

The raw data for the correlator analysis is in the data-files folder. These files are collected from the simulation outputs using the scripts in the gather-files folder, and analyzed with the create-plots scripts (with output saved in the products folder).

Python package dependencies

Package dependencies for the Python analysis scripts are contained in requirements.txt

Cite

If you use this code (or parts of it), please consider citing our paper:

@misc{https://doi.org/10.48550/arxiv.2208.14402,
  doi = {10.48550/ARXIV.2208.14402},
  url = {https://arxiv.org/abs/2208.14402},
  author = {Gautam, Vaibhav and Hanada, Masanori and Holden, Jack and Rinaldi, Enrico},
  keywords = {High Energy Physics - Theory (hep-th), High Energy Physics - Lattice (hep-lat), High Energy Physics - Phenomenology (hep-ph), FOS: Physical sciences, FOS: Physical sciences},
  title = {Linear confinement in the partially-deconfined phase},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}