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SUMMARY:Physics-Driven Data Production at Petabyte Scale\, and the Science
  It Enables for Rubin 2.0 (Alex Broughton\, SLAC)
DTSTART:20260903T123000Z
DTEND:20260903T140000Z
DTSTAMP:20260901T162800Z
UID:indico-event-40494@indico.in2p3.fr
DESCRIPTION:Speakers: Alex Broughton\, Pierre Astier (LPNHE)\n\nThe 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 s
 ignal into science-ready catalogs requires physics-driven processing at ev
 ery stage: instrument signature removal\, global astrometric and photometr
 ic calibration\, cell-based coaddition and deblending\, and variable/trans
 ient 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 desc
 ribe the pipeline architecture behind these products\, including recent de
 velopments in background modeling\, PSF characterization\, and shear measu
 rement\, and discuss the dataset's known limitations. I conclude by consid
 ering how these lessons inform planning for Rubin Observatory beyond the 1
 0-year LSST: which open science questions LSST is best positioned to answe
 r\, what upgrades could be made to the observatory\, which systematics wil
 l require finer control\, and what data volumes and tools the next generat
 ion of science will demand.\n\nhttps://indico.in2p3.fr/event/40494/
LOCATION:amphi Charpak
URL:https://indico.in2p3.fr/event/40494/
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