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. 2022 Feb 14;9(1):31.
doi: 10.1038/s41597-021-01109-0.

A FAIR and AI-ready Higgs boson decay dataset

Yifan Chen  1   2 , E A Huerta  3   4 , Javier Duarte  5 , Philip Harris  6 , Daniel S Katz  1 , Mark S Neubauer  1 , Daniel Diaz  5 , Farouk Mokhtar  5 , Raghav Kansal  5   6 , Sang Eon Park  7 , Volodymyr V Kindratenko  1 , Zhizhen Zhao  1 , Roger Rusack  8
Affiliations

A FAIR and AI-ready Higgs boson decay dataset

Yifan Chen et al. Sci Data. .

Abstract

To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility, interoperability, and reusability (FAIR) for data and artificial intelligence (AI) models. This article provides a domain-agnostic, step-by-step assessment guide to evaluate whether or not a given dataset meets these principles. We demonstrate how to use this guide to evaluate the FAIRness of an open simulated dataset produced by the CMS Collaboration at the CERN Large Hadron Collider. This dataset consists of Higgs boson decays and quark and gluon background, and is available through the CERN Open Data Portal. We use additional available tools to assess the FAIRness of this dataset, and incorporate feedback from members of the FAIR community to validate our results. This article is accompanied by a Jupyter notebook to visualize and explore this dataset. This study marks the first in a planned series of articles that will guide scientists in the creation of FAIR AI models and datasets in high energy particle physics.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The distribution of labels is shown for a representative file in the training dataset.
Fig. 2
Fig. 2
Illustration of a H(bb¯) jet with two secondary vertices (SVs) from the decay of two b hadrons resulting in charged-particle tracks (including a low-energy, or soft, lepton) that are displaced with respect to the primary collision vertex (PV), and hence with a large impact parameter (IP) value.
Fig. 3
Fig. 3
The distributions of some salient jet features: (a) the soft-drop jet mass; (b) number of particle candidates; (c) number of secondary vertices; and (d) number of tracks, are shown for one file in the training dataset.
See this image and copyright information in PMC

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