Physics-Driven Data Production at Petabyte Scale, and the Science It Enables for Rubin 2.0 (Alex Broughton, SLAC)

par Alex Broughton, Pierre Astier (LPNHE)

jeudi 3 sept. 2026, 14:30 → 16:00 Europe/Paris

amphi Charpak

The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will generate approximately 20 TB of data per night for 10 years. Converting this raw signal into science-ready catalogs requires physics-driven processing at every stage: instrument signature removal, global astrometric and photometric calibration, cell-based coaddition and deblending, and variable/transient detection. This talk presents lessons learned from the Data Preview 2 (DP2) campaign, the first end-to-end processing of on-sky LSSTCam data, comprising roughly 15,000 square degrees and 790 million objects. I describe the pipeline architecture behind these products, including recent developments in background modeling, PSF characterization, and shear measurement, and discuss the dataset's known limitations. I conclude by considering how these lessons inform planning for Rubin Observatory beyond the 10-year LSST: which open science questions LSST is best positioned to answer, what upgrades could be made to the observatory, which systematics will require finer control, and what data volumes and tools the next generation of science will demand.