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RuPy 13: Unlocking the Universe with Python and LSST / Jake Vanderplas

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Published on Nov 23, 2013

Gone are the days of the solitary astronomer up late in a cold dome, staring through the eyepiece of a telescope. Modern astronomy research is characterized by automated digital surveys which create floods of imagery and other data, too voluminous for even large teams of Astronomers to analyze by-eye. Starting in the second half of this decade, the Large Synoptic Survey Telescope (LSST) will push the boundary even further by repeatedly image the entire southern sky over the course of ten years. The resulting data stream will effectively be a ten-year movie of the night sky, comprising hundreds of petabytes of raw data in the end, and will lead to an unprecedented ability to understand the physics of the universe, from gigantic nuclear explosions at the centers of galaxies, to orbits of extrasolar planets around distant stars, to the accelerating expansion of space itself. In this talk, I'll highlight some of the more exciting prospects for science with LSST, and highlight how Python is being utilized within astronomy to encourage open, reproducible research as we process, analyze, and share our data.

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