Dataset and scripts for "Non-zero temperature study of spin 1/2 charmed baryons using lattice gauge theory"

<strong>charmJ12Scripts</strong> 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 [SOON]. 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. <strong>correlators</strong> Correlators from openqcd-fastsum-hadspec are zipped in the correlators folder. These are unzipped automatically by the script. The correlators are plain text files. <strong>output</strong> Analysis output is placed here. You do not need to look here in order to see the figures in the paper <strong>code</strong> The python code and scripts that do the analysis. There is some modularity here with the libraries in the lib folder <strong>paperPlots</strong> The plots from the paper will be generated here. They are not supplied with this repo as they can be found in the paper <strong>plotXYData</strong> 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 <strong>run</strong> The folder where the main script needed to run all the analysis is. <strong>Conda Notes</strong> 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 <code>conda update -n base conda</code> <code>conda install -n base conda-libmamba-solver</code> <code>conda config --set solver libmamba</code> Install Environment <code>conda env create -f environment.yml</code> Activate/Use <code>conda activate charm</code> Update (w. new packages) Edit <code>environment.yml</code> Deactivate conda environment with <code>conda deactivate</code> Update conda environment with <code>conda env update -f=environment.yml</code>