Astrophysics in the age of big data
Episode 4 of the The Turing Podcast podcast, hosted by The Alan Turing Institute, titled "Astrophysics in the age of big data" was published on May 4, 2020 and runs 33 minutes.
May 4, 2020 ·33m · The Turing Podcast
Summary
Large datasets and modern machine learning techniques are fast changing the field of Astrophysics and our understanding of the universe. In this episode, we chat with PhD candidates Tarek Allam and Gordon Yip, whose respective research at University College London’s Department of Physics and Astronomy focuses on the classification of supernova light curves to help constrain theories of Dark Energy and the atmospheric composition of remote exo-planets.
Episode Description
Large datasets and modern machine learning techniques are fast changing the field of Astrophysics and our understanding of the universe. In this episode, we chat with PhD candidates Tarek Allam and Gordon Yip, whose respective research at University College London’s Department of Physics and Astronomy focuses on the classification of supernova light curves to help constrain theories of Dark Energy and the atmospheric composition of remote exo-planets.
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