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  • An Overview of the LSST Image Processing Pipelines
    Bosch, James; AlSayyad, Yusra; Armstrong, Robert; Bellm, Eric; Hsin-Fang Chiang; Eggl, Siegfried; Findeisen, Krzysztof; Fisher-Levine, Merlin; Guy, Leanne P; Guyonnet, Augustin; Ivezić, Željko; Jenness, Tim; Kovács, Gábor; K Simon Krughoff; Lupton, Robert H; Lust, Nate B; MacArthur, Lauren A; Meyers, Joshua; Moolekamp, Fred; Morrison, Christopher B; Morton, Timothy D; O'Mullane, William; Parejko, John K; Plazas, Andrés A; Price, Paul A; Rawls, Meredith L; Reed, Sophie L; Schellart, Pim; Slater, Colin T; Sullivan, Ian; Swinbank, John D; Taranu, Dan; Waters, Christopher Z; Wood-Vasey, W M

    arXiv (Cornell University), 12/2018
    Paper, Journal Article

    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.

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