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.
@article{arxiv.1812.03248,
title = {An Overview of the LSST Image Processing Pipelines},
author = {James Bosch and Yusra AlSayyad and Robert Armstrong and Eric Bellm and Hsin-Fang Chiang and Siegfried Eggl and Krzysztof Findeisen and Merlin Fisher-Levine and Leanne P. Guy and Augustin Guyonnet and Željko Ivezić and Tim Jenness and Gábor Kovács and K. Simon Krughoff and Robert H. Lupton and Nate B. Lust and Lauren A. MacArthur and Joshua Meyers and Fred Moolekamp and Christopher B. Morrison and Timothy D. Morton and William O'Mullane and John K. Parejko and Andrés A. Plazas and Paul A. Price and Meredith L. Rawls and Sophie L. Reed and Pim Schellart and Colin T. Slater and Ian Sullivan and John. D. Swinbank and Dan Taranu and Christopher Z. Waters and W. M. Wood-Vasey},
journal= {arXiv preprint arXiv:1812.03248},
year = {2018}
}