Status of reproducibility and open science in hep-lat in 2021
Ed Bennett

TL;DR
This paper surveys the reproducibility of lattice field theory research in 2021, highlighting progress and areas needing improvement in making computational results fully reproducible.
Contribution
It provides the first comprehensive assessment of reproducibility practices in hep-lat submissions, identifying strengths and gaps in open science adoption.
Findings
High reproducibility in some research areas
Opportunities for increased transparency and data sharing
Most submissions lack detailed reproducibility documentation
Abstract
As a fully computational discipline, Lattice Field Theory has the potential to give results that anyone with sufficient computational resources can reproduce, going from input parameters to published numbers and plots correct to the last byte. After briefly motivating and outlining some of the key steps in making lattice computations reproducible, this contribution presents the results of a survey of all 1,229 submissions to the hep-lat arXiv in 2021 of how explicitly reproducible each is. Areas where LFT has historically been well ahead of the curve are highlighted, as are areas where there are opportunities to do more.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Data Storage Technologies · Scientific Computing and Data Management · Machine Learning in Materials Science
