charmJ12Scripts A set of scripts and folders to reproduce the analysis and plots in the spin 1/2 charm baryon paper which can be found at EPJA 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 entire analysis, and particularly the figures in the manuscript. correlators Correlators from openqcd-fastsum-hadspec are zipped in the correlators folder. These are unzipped automatically by the script. The correlators are plain text files. output Analysis output is placed here. You do not need to look here in order to see the figures in the paper code The python code and scripts that do the analysis. There is some modularity here with the libraries in the lib folder paperPlots The plots from the paper will be generated here. They are not supplied with this repo as they can be found in the paper plotXYData The x-y and y-error data of each plot in the paper. Only 'scatter' style data is included. This is generated by the run script, but also supplied herein. It will be overwritten by the runscript run The folder where the main script needed to run all the analysis is. 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 charm Update (w. new packages) Edit environment.yml Deactivate conda environment with conda deactivate Update conda environment with conda env update -f=environment.yml

M.N.A. acknowledges support from The Royal Society Newton International Fellowship. 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 unding via STFC capital grants ST/R00238X/1, ST/K000373/1 and T/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 omputing, 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.