A FAIR and AI-ready Higgs boson decay dataset

A FAIR and AI-ready Higgs boson decay dataset

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, ste...

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Bibliographic Details
Main Authors: Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
Format: Article
Language:English
Published: Nature Portfolio 2022-02-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-021-01109-0

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https://doi.org/10.1038/s41597-021-01109-0

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