https://doi.org/10.1140/epjc/s10052-025-14512-3
Regular Article - Computing, Software and Data Science
Open database for GPD analyses
1
Thomas Jefferson National Accelerator Facility, 12000 Jefferson Avenue, 23606, Newport News, VA, USA
2
Irfu, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
3
Faculty of Physics and Astronomy, Adam Mickiewicz University, ul. Uniwersytetu Poznańskiego 2, 61-614, Poznań, Poland
4
Department of Physics, Temple University, 19122-1801, Philadelphia, USA
5
Physics Department, William & Mary, 23187, Williamsburg, USA
6
National Centre for Nuclear Research, 02-093, Warsaw, Poland
Received:
11
April
2025
Accepted:
9
July
2025
Published online:
4
August
2025
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.
© The Author(s) 2025
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Funded by SCOAP3.
