Open database for GPD analyses
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arXiv
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| Hauptverfasser: | , , , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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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 |