LSST Data Management Infrastructure

Mike Freemon (National Center for Supercomputing Applications)


Abstract

The Large Synoptic Survey Telescope (LSST) project is a proposed large-aperture, wide-field, ground-based telescope that will survey half the sky every few nights in six optical bands. The National Academy of Sciences Astro2010 panel recently selected LSST as the top priority for large, ground-based astronomy for the coming decade.

LSST will produce a data set suitable for answering a wide range of pressing questions in astrophysics, cosmology, and fundamental physics. What is dark energy? What is dark matter? How did the Milky Way from? What are the properties of small bodies in the solar system? Are there potentially hazardous asteroids that might impact the Earth and cause significant damage? Are there new kinds of undiscovered explosive phenomena?

The 8.4-meter telescope will be located in the Andes mountains near La Serena, Chile. The 3.2 Gpixel camera will take 6.4 GB images every 15 seconds, resulting in 15 TB of new raw image data per night. Processing such a large volume of data, converting the raw images into a faithful representation of the universe, automated data quality assessment, automated discovery of moving or transient sources, and archiving the results in useful form for a broad community of users is a major challenge.

This poster presents an overview of the planned computing infrastructure for LSST.

Paper ID: P045

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