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Main Authors: Burkert, V. D., Camsonne, A., Chatagnon, P., Cichy, K., Constantinou, M., Dutrieux, H., Higuera-Angulo, I. M., Mezrag, C., Richards, D., Sznajder, P.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2503.18152
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author Burkert, V. D.
Camsonne, A.
Chatagnon, P.
Cichy, K.
Constantinou, M.
Dutrieux, H.
Higuera-Angulo, I. M.
Mezrag, C.
Richards, D.
Sznajder, P.
author_facet Burkert, V. D.
Camsonne, A.
Chatagnon, P.
Cichy, K.
Constantinou, M.
Dutrieux, H.
Higuera-Angulo, I. M.
Mezrag, C.
Richards, D.
Sznajder, P.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2503_18152
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Open database for GPD analyses
Burkert, V. D.
Camsonne, A.
Chatagnon, P.
Cichy, K.
Constantinou, M.
Dutrieux, H.
Higuera-Angulo, I. M.
Mezrag, C.
Richards, D.
Sznajder, P.
High Energy Physics - Phenomenology
65-04 (Primary), 65-11 (Secondary), 81V35 (Tertiary)
H.2.8
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.
title Open database for GPD analyses
topic High Energy Physics - Phenomenology
65-04 (Primary), 65-11 (Secondary), 81V35 (Tertiary)
H.2.8
url https://arxiv.org/abs/2503.18152