Lattice gauge ensembles and data management

We summarize the status of lattice QCD ensemble generation efforts and their data management characteristics. Namely, these proceedings combine the contributions to a dedicated parallel session during the 41$^\mathsf{st}$ International Symposium on Lattice Field Theory (Lattice 2024), during which representatives of 16 lattice QCD collaborations provided details on their simulation program, with focus on plans for publication, data management, and storage requirements. The parallel session was organized by the International Lattice Data Grid (ILDG), following an open call to the lattice QCD community for participation in the session.

Authors

Publication Details

Published
2025-02-10
DOI
https://doi.org/10.22323/1.466.0412
Citations
2
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
2.97

Funders

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Lattice gauge ensembles and data management

A. Yu. Kotov, Rajan Gupta, Georg von Hippel, Kadir Utku Can et al.
2 citations
Time Series Analysis and Forecasting
2.97
article

Lattice gauge ensembles and data management

A. Yu. Kotov, Rajan Gupta, Georg von Hippel, Kadir Utku Can, Ryan Bignell, Giovanni Pederiva, Yasumichi Aoki, Giannis Koutsou, Agostino Patella, Christian Schmidt, Steven Gottlieb, Ed Bennett, Yi-Bo Yang, Takeshi Yamazaki, Takumi Doi, Issaku Kanamori
article en
2 citations

Abstract

We summarize the status of lattice QCD ensemble generation efforts and their data management characteristics. Namely, these proceedings combine the contributions to a dedicated parallel session during the 41$^\mathsf{st}$ International Symposium on Lattice Field Theory (Lattice 2024), during which representatives of 16 lattice QCD collaborations provided details on their simulation program, with focus on plans for publication, data management, and storage requirements. The parallel session was organized by the International Lattice Data Grid (ILDG), following an open call to the lattice QCD community for participation in the session.

U.S. Department of Energy, UK Research and Innovation, European Commission, Science Foundation Ireland, Deutsche Forschungsgemeinschaft, Ministry of Education, Culture, Sports, Science and Technology, National Natural Science Foundation of China, Horizon 2020 Framework Programme, Engineering and Physical Sciences Research Council, Science and Technology Facilities Council, Japan Society for the Promotion of Science, European Regional Development Fund, National Cancer Institute, High Energy Physics, Precursory Research for Embryonic Science and Technology
Openalex Percentile: Top 12%
Time Series Analysis and Forecasting
2.97
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