Lattice gauge ensembles and data management
Yasumichi Aoki, Ed Bennett, Ryan Bignell, Kadir Utku Can, Takumi Doi,, Steven Gottlieb, Rajan Gupta, Georg von Hippel, Issaku Kanamori, Andrey, Kotov, Giannis Koutsou, Agostino Patella, Giovanni Pederiva, Christian, Schmidt, Takeshi Yamazaki, and Yi-Bo Yang
TL;DR
This paper reviews the current status of lattice QCD ensemble generation and data management, highlighting collaborative efforts, data sharing plans, and storage needs discussed at Lattice 2024.
Contribution
It provides a comprehensive overview of data management practices and future plans across multiple lattice QCD collaborations, organized through ILDG at Lattice 2024.
Findings
Collaborative data management strategies discussed
Detailed plans for publication and storage shared
Community efforts to enhance data sharing and organization
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 41st 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.
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Taxonomy
TopicsTime Series Analysis and Forecasting · Data Mining Algorithms and Applications