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Making digital objects FAIR in high energy physics: An implementation for Universal FeynRules Output (UFO) models

Journal Article · · SciPost Physics Codebases

Research in the data-intensive discipline of high energy physics (HEP) often relies on domain-specific digital contents. Reproducibility of research relies on proper preservation of these digital objects. This paper reflects on the interpretation of principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) in such context and demonstrates its implementation by describing the development of an end-to-end support infrastructure for preserving and accessing Universal FeynRules Output (UFO) models guided by the FAIR principles. UFO models are custom-made python libraries used by the HEP community for Monte Carlo simulation of collider physics events. Our framework provides simple but robust tools to preserve and access the UFO models and corresponding metadata in accordance with the FAIR principles.

Sponsoring Organization:
USDOE
Grant/Contract Number:
SC0021258
OSTI ID:
2280422
Journal Information:
SciPost Physics Codebases, Journal Name: SciPost Physics Codebases; ISSN 2949-804X
Publisher:
Stichting SciPostCopyright Statement
Country of Publication:
Netherlands
Language:
English

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