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19 April 2024

» arxiv » 1812.3248

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An Overview of the LSST Image Processing Pipelines
James Bosch ; Yusra AlSayyad ; Robert Armstrong ; Eric Bellm ; Hsin-Fang Chiang ; Siegfried Eggl ; Krzysztof Findeisen ; Merlin Fisher-Levine ; Leanne P. Guy ; Augustin Guyonnet ; Željko Ivezić ; Tim Jenness ; Gábor Kovács ; K. Simon Krughoff ; Robert H. Lupton ; Nate B. Lust ; Lauren A. MacArthur ; Joshua Meyers ; Fred Moolekamp ; Christopher B. Morrison ; Timothy D. Morton ; William O'Mullane ; John K. Parejko ; Andrés A. Plazas ; Paul A. Price ; Meredith L. Rawls ; Sophie L. Reed ; Pim Schellart ; Colin T. Slater ; Ian Sullivan ; John. D. Swinbank ; Dan Taranu ; Christopher Z. Waters ; W. M. Wood-Vasey ;
Date:	8 Dec 2018
Abstract:	The Large Synoptic Survey Telescope (LSST) is an ambitious astronomical survey with a similarly ambitious Data Management component. Data Management for LSST includes processing on both nightly and yearly cadences to generate transient alerts, deep catalogs of the static sky, and forced photometry light-curves for billions of objects at hundreds of epochs, spanning at least a decade. The algorithms running in these pipelines are individually sophisticated and interact in subtle ways. This paper provides an overview of those pipelines, focusing more on those interactions than the details of any individual algorithm.
Source:	arXiv, 1812.3248
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