READ ME File For 'Dataset title'

Dataset DOI: 10.5258/SOTON/D2817

Date that the file was created: October, 2023

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GENERAL INFORMATION
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ReadMe Author: JACK HOLDEN, University of Southampton [0000-0002-0946-2282]

Date of data collection: 2022

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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse: CC-BY

Recommended citation for the data: Gautam, Vaibhav, Masanori Hanada, Jack Holden, and Enrico Rinaldi. "Linear confinement in the partially-deconfined phase." Journal of High Energy Physics 2023, no. 3 (2023): 1-40.

This dataset supports the publication:
AUTHORS: Vaibhav Gautam, Masanori Hanada, Jack Holden, Enrico Rinaldi
TITLE: Linear confinement in the partially-deconfined phase
JOURNAL: Journal of High Energy Physics 
PAPER DOI IF KNOWN: 10.1007/JHEP03%282023%29195

Links to other publicly accessible locations of the data: https://github.com/erinaldi/pd-potential

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DATA & FILE OVERVIEW
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This dataset contains: 
Code and data used in the publication Linear confinement in the partially-deconfined phase (arxiv:2208.14402) by Gautam, Hanada, Holden, and Rinaldi.

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.

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.

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).

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