Speaker
Description
Abstract
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) is set to revolutionize our understanding of the Universe with groundbreaking images and scientific results. In this plenary I will highlight early discoveries and iconic images, focusing on the data management system that enables Rubin science at scale. Rubin has drawn on synergies between the high-energy physics and astronomy communities, leveraging experience from LHC-scale distributed computing. CERN-developed tools such as Rucio, PanDA, and CERN VM-FS have been deployed at SLAC, the lead Rubin data facility and a Tier‑2 site for ATLAS and CMS, as well as at the French and UK Rubin data facilities, both long-standing LHC Tier‑1 centres, to enable large-scale data distribution and workflow management for Rubin science. I will describe the end-to-end Rubin computing ecosystem and highlight lessons from cross-disciplinary collaboration for future data-intensive experiments.
Short bio
Dr. Leanne Guy is the Data Management Scientist at the Vera C. Rubin Observatory, where she leads the evaluation and optimization of the observatory system to ensure the Legacy Survey of Space and Time achieves its 10-year science goals. She holds a Ph.D. in Experimental Particle Physics from the University of Melbourne and has over two decades experience developing petascale data processing systems in astronomy and high-energy physics, bridging the boundary between high-performance computing and scientific analysis. Her research spans time-domain astronomy and cosmology, building on earlier contributions to the ATLAS experiment at the LHC studying matter–antimatter asymmetry and CP violation, CERN’s European Grid computing projects, and algorithm development for time-domain science on the ESA Gaia mission. She is a strong advocate for open science, promoting transparent, reproducible methods and broad access to scientific data and tools.