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EPISODE · May 4, 2020 · 33 MIN

Astrophysics in the age of big data

from The Turing Podcast · host The Alan Turing Institute

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.

What this episode covers

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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Astrophysics in the age of big data

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Frequently Asked Questions

How long is this episode of The Turing Podcast?

This episode is 33 minutes long.

When was this The Turing Podcast episode published?

This episode was published on May 4, 2020.

What is this episode about?

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...

Can I download this The Turing Podcast episode?

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