
Sign up to save your podcasts
Or


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.
By The Alan Turing Institute5
55 ratings
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.

43,540 Listeners

893 Listeners

4,848 Listeners

295 Listeners

112,430 Listeners

649 Listeners

8,190 Listeners

4,149 Listeners

194 Listeners

3,188 Listeners

89 Listeners

14,371 Listeners

16,106 Listeners

3,148 Listeners