# Reproducibility package for the BBN/vEDE paper This repository contains the archived chains, profile-likelihood outputs,plotting scripts, and manuscript source needed to reproduce the figures in > *What could an emerging Big Bang Nucleosynthesis discrepancy be hinting at?* The repository is intended for archival on Zenodo and for reproducing thefigures in the arXiv submission. Zenodo DOI: [10.5281/zenodo.21494819](https://doi.org/10.5281/zenodo.21494819) ## Contents ```textfigures/final/ Exact figure PDFs used in the submitted manuscript.figures/reproduced/ Created by scripts/reproduce_all_figures.sh.manuscript/ arXiv source snapshot and arXiv-rendered PDF.notebooks/ Notebook entry point for regenerating the paper figures.pyprimat/ Minimal PyPRIMAT code snapshot, plotting scripts, chains, and results.primat_tools/ Cobaya/PRIMAT wrapper snapshot, YAML files, and profile drivers.scripts/ Top-level reproduction scripts.docs/ Figure-source and run-provenance notes.``` ## Quick start Create a Python environment and install the plotting/runtime dependencies: ```bashpython -m venv .venvsource .venv/bin/activatepip install -r requirements.txt``` Then regenerate all paper figures: ```bashexport PYTHONPATH="$PWD/pyprimat:$PWD/primat_tools:$PYTHONPATH"bash scripts/reproduce_all_figures.sh``` Alternatively, run the notebook: ```textnotebooks/reproduce_all_figures.ipynb``` The regenerated figures will appear in: ```textfigures/reproduced/``` The submitted figure PDFs are in: ```textfigures/final/``` Small visual differences can occur if Matplotlib/GetDist versions differ fromthe versions used by the authors, but the posterior samples and profile inputsare archived here. ## Main archived numerical inputs MCMC chains: ```textpyprimat/chains/primat032_latest_20260706/pyprimat/chains/primat032_latest_20260710_EDEprior/pyprimat/chains/primat032_latest_20260716_lcdmprior/pyprimat/chains/primat032_latest_20260717_lcdmdesi/``` Profile likelihoods and derived summary tables: ```textpyprimat/results/profile_primat032_theoryMC_20260710/pyprimat/results/profile_noise_reruns_20260712/pyprimat/results/primat032_latest_20260706/pyprimat/results/primat032_latest_20260710_EDEprior/``` Cobaya input YAML files: ```textprimat_tools/yaml/latest_mcmc/``` See `docs/FIGURE_SOURCES.md` for the figure-by-figure mapping.See `docs/PROVENANCE.md` for the local source commit identifiers used tocreate the code snapshots. ## Notes for full analyses The scripts in `scripts/reproduce_all_figures.sh` reproduce figures from thearchived chains and profile CSVs. Rerunning the full MCMC and profile analysesrequires an MPI-enabled Cobaya environment and is substantially more expensive.The corresponding YAML files and cluster/profile driver scripts are includedfor provenance. ## Zenodo record This archive is associated with Zenodo DOI[10.5281/zenodo.21494819](https://doi.org/10.5281/zenodo.21494819).