AAVSO: American Association of Variable Star Observers

Big Software for Big Data: Scaling Up Photometry for LSST (Abstract)

Volume 45 number 1 (2017)

Meredith Rawls
Department of Astronomy, University of Washington, Seattle, WA 98195; meredith.rawls@gmail.com


(Abstract only) The Large Synoptic Survey Telescope (LSST) will capture mosaics of the sky every few nights, each containing more data than your computer’s hard drive can store. As a result, the software to process these images is as critical to the science as the telescope and the camera. I discuss the algorithms and software being developed by the LSST Data Management team to handle such a large volume of data. All of our work is open source and available to the community. Once LSST comes online, our software will produce catalogs of objects and a stream of alerts. These will bring exciting new opportunities for follow-up observations and collaborations with LSST scientists.