wmin-model is a Colibri PDF-model that implements the POD parametrisation presented in this paper.
There are several ways to install wmin-model, see also colibri installation instructions, however perhaps the easiest way
is to clone the repository first and then use the provided environment.yml
file:
git clone git@github.com:HEP-PBSP/wmin-model.git
cd wmin-model
from your conda base environment run
conda env create -f environment.yml
This will create a wmin-model-dev
environment installed in development mode.
If you want to use a different environment name you can run:
conda env create -n myenv -f environment.yml
The wmin-model supports two primary workflows:
-
PDF Fits with POD Parametrisation
Perform parton distribution function (PDF) fits on NNPDF data using the Colibri Bayesian workflow and the linear POD parametrisation introduced in this paper. -
POD-Basis Construction
Generate a Proper Orthogonal Decomposition (POD) basis -> example_runcard
Other examples on how to use the code can be found at https://github.com/comane/NNPOD-wiki.git
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 3 as published by the Free Software Foundation.
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"
}