Published November 30, 2023 | Version v1.0.0
Conference proceeding Open

Dataset and Conference Proceeding "Reconstructed (charm) baryon methods at finite temperature on anisotropic lattices"

  • 1. ROR icon Trinity College Dublin
  • 2. ROR icon Swansea University
  • 3. Department of Theoretical Physics and Hamilton Institute, National University of Ireland Maynooth, County Kildare, Ireland
  • 4. Quantum Field Theory & Danish IAS, Department of Mathematics and Computer Science, University of Southern Denmark

Description

A set of scripts and folders to reproduce the analysis and plots in the proceedings for the Lattice 2023 Conference "Reconstructed (charm) baryon methods at finite temperature on anisotropic lattices".

 

This repository includes the raw correlator data, the scripts and software used to analyse them as well as a script which can be run in order to reproduce the analysis, and particularly the figures in the manuscript.

 

In this folder is the tex documents, the Figures folder and the dataScripts folder where the dataset and scripts are. Inside that folder is:

correlators

Correlators from openqcd-fastsum-hadspec are zipped in the correlators folder. These are unzipped automatically by the run script. The correlators are plain text files.

 

bin/lib

The python code and scripts that do the analysis. There is some modularity here with the libraries in the lib folder

 

fits.zip  & fits_gvar.zip

Contains the nucleon fit results. The Xi_cc (ccu) results may be produced using the supplied data of https://arxiv.org/abs/2308.12207

 

To Run

To run, make and activate the conda environment below, and then do `sh run.sh` in the `dataScripts` folder. This will run the analysis and plots. These will be placed in the same directory as 'run.sh'

 

Conda Notes

Install your favourite conda solution, such as https://docs.conda.io/en/latest/miniconda.html

 

Switch to a faster environment solver

This is optional, but likely will solve the dependencies much much faster. See https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community conda update -n base conda conda install -n base conda-libmamba-solver conda config --set solver libmamba

 

Install Environment

conda env create -f environment.yml

 

Activate/Use

conda activate trinPD

 

Update (w. new packages)

  1. Edit environment.yml
  2. Deactivate conda environment with conda deactivate
  3. Update conda environment with conda env update -f=environment.yml

Other

GA, CA, RB and TJB are grateful for support via STFC grant ST/T000813/1. MNA acknowledges support from The Royal Society Newton International Fellowship. RB acknowledges support from a Science Foundation Ireland Frontiers for the Future Project award with grant number SFI-21/FFP-P/10186. This work used the DiRAC Extreme Scaling service at the University of Edinburgh, operated by the Edinburgh Parallel Computing Centre and the DiRAC Data Intensive service operated by the University of Leicester IT Services on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grants ST/R00238X/1, ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grants ST/R001006/1 and ST/R001014/1. DiRAC is part of the UK National e-Infrastructure. We acknowledge the support of the Swansea Academy for Advanced Computing, the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, and the University of Southern Denmark and ICHEC, Ireland for use of computing facilities. This work was performed using PRACE resources at Cineca (Italy), CEA (France) and Stuttgart (Germany) via grants 2015133079, 2018194714, 2019214714 and 2020214714.

Files

Proceedings23.zip

Files (264.9 MB)

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Additional details

Related works

Cites
Dataset: 10.5281/zenodo.8273590 (DOI)
Publication: arXiv:2308.12207 (arXiv)

Funding

The Universe at Extreme Scales ST/T000813/1
UK Research and Innovation
The DiRAC 2.5x Facility ST/R00238X/1
UK Research and Innovation
DiRAC2: 100 Tflop/s HPC cluster procurement ST/K000373/1
UK Research and Innovation
The DiRAC 2.5x Facility ST/R002363/1
UK Research and Innovation
Dirac 2.5 Operations ST/R001006/1
UK Research and Innovation
DiRAC 2.5 Operations 2017-2020 ST/R001014/1
UK Research and Innovation