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Open database for GPD analyses
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Journal Article
Open database for GPD analyses
2025
Overview
This article summarizes the main ideas behind creating an open database proposed for use in the exploration of generalized parton distributions (GPDs). This lightweight database is well suited for GPD phenomenology and is designed to store both experimental and lattice-QCD data. It can also aid in benchmarking GPD-related developments, such as GPD models. The database utilizes a new data format based on the YAML serialization language, enabling the storage of essential information for modern analyses, such as replica values. It includes interfaces for both Python and C++, allowing straightforward integration with analysis codes.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V,Springer Verlag (Germany),Springer Science and Business Media LLC,SpringerOpen
