Dataset and Conference Proceeding "Reconstructed (charm) baryon methods at finite temperature on anisotropic lattices"
Creators
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)
- Edit environment.yml
- Deactivate conda environment with conda deactivate
- 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)
Name | Size | Download all |
---|---|---|
md5:1b75ac93bad11670691632a6a2118c3c
|
264.9 MB | Preview Download |
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