Code & instructions to reproduce all numerical results and figures from paper.

Bayesian fitting workflow diagram

Create the environment

In order to use the runcards and notebooks of this repository, you need to first build the right conda environment. To do so you can follow the instructions on https://github.com/HEP-PBSP/wmin-model/

Figure	Preview	Source Notebook
Fig. 2		reproduce_fig2
Fig. 3 L		reproduce_fig3_l
Fig. 3 R		reproduce_fig3_r
Fig. 4		reproduce_fig4
Fig. 5		reproduce_fig5
Fig. 7		reproduce_fig7
Fig. 9		reproduce_fig9

The section 3 folder contains the info for reproducing results from section 3 of the paper.

The section 5 folder contains the info for reproducing results from section 5 of the paper.

1. Section 5.2: to reproduce these results follow the instructions here
2. Section 5.3: to reproduce these results follow the instructions here

If you use this repository or the results in your own research, please cite our paper as follows:

@article{Costantini:2025wxp,
    author = "Costantini, Mark N. and Mantani, Luca and Moore, James M. and Ubiali, Maria",
    title = "{A linear PDF model for Bayesian inference}",
    eprint = "2507.16913",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "7",
    year = "2025"
}