DOI: 10.5281/zenodo.14876523
title: Dataset and scripts for "The curvature of the pseudo-critical line in the QCD phase diagram from mesonic lattice correlation functions"

description: General Info:

Dataset and Analysis scripts for the study of the QCD pseudocritical line curvature using lattice QCD described in 2412.20922. gen2.zip and gen2l.xip contain raw correlators for produced using the Generation 2 (2L) ensembles produced by the FASTSUM collaboration.

 

Requirements for analysis scripts:

- Any version of Python 3 available- The 'gvar' library - https://github.com/gplepage/gvar

 

Analysis scripts:

The most complete version of the analysis scripts are on the github repository: https://github.com/asmecca/mu2_curvature.git

 

Instructions:

1. unzip analysis.zip, gen2.zip and gen2l.zip

2. modify 'iter_mu2.sh' in both gen2 and Gen2L directories, inserting the correct path to the directories NtxNs

3. run 'iter_mu2.sh' for both gen2 and Gen2L

4. modify the file 'final_ratio.py' inserting the correct path to the correlators directory NtxNs for both gen2 and Gen2L

5. run 'launch_ratio.sh' for both gen2 and Gen2L

6. run 'launch_interpolate.sh' for both gen2 and Gen2L

7. run 'final_fit_mu.py' to obtain final plot and kappa values

8. run 'plot_interpolate.py' to obtain the plots showing the interpolation of the data as shown in the paper. It takes the value of mu_q as input

Attention! - ''launch_interpolate.sh'' appends the values of Tpc to a file, so if it is not the first run you should delete the previous run

 

Other

We are grateful to the HadSpec collaboration for the use of their zero temperature ensembles. This work is supported by the UKRI Science and Technology Facilities Council (STFC) Consolidated Grant No. ST/X000648/1. We are grateful to Supercomputing Wales for the use of their computing resources and to the Swansea Academy for Advanced Computing for support. This work used the DiRAC Data Intensive service (DIaL2 / DIaL2.5) at the University of Leicester, managed by the University of Leicester Research Computing Service on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC service at Leicester was funded by BEIS, UKRI and STFC capital funding and STFC operations grants. DiRAC is part of the UKRI Digital Research Infrastructure, and the DiRAC Blue Gene Q Shared Petaflop system at the University of Edinburgh, operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BIS National E-infrastructure capital grant ST/K000411/1, STFC capital grant ST/H008845/1, and STFC DiRAC Operations grants ST/K005804/1 and ST/K005790/1. DiRAC is part of the National E-Infrastructure. This work was performed using the PRACE Marconi-KNL resources hosted by CINECA, Italy. We acknowledge EuroHPC Joint Undertaking for awarding the project EHPC-EXT-2023E01-010 access to LUMI-C, Finland. SK is supported by the National Research Foundation of Korea under grant NRF-2021R1A2C1092701 fundedby the Korean government (MEST) and by the Institute of Information & Communication Technology Planning & Evaluation grant funded by the Korean government (Ministry of Science and ICT) (IITP-2024-RS-2024-00437191).