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Astrophysics in the Age of Big Data

Offered By: Alan Turing Institute via YouTube

Tags

Astrophysics Courses Astronomy Courses Big Data Courses Data Analysis Courses Machine Learning Courses Dark Energy Courses Exoplanets Courses

Course Description

Overview

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Explore how large datasets and modern machine learning techniques are revolutionizing Astrophysics and enhancing our understanding of the universe in this 33-minute video from the Alan Turing Institute. Delve into the research of PhD candidates Tarek Allam and Gordon Yip from University College London's Department of Physics and Astronomy. Discover how Allam's work on classifying supernova light curves contributes to constraining theories of Dark Energy, while Yip's research focuses on determining the atmospheric composition of distant exoplanets. Gain insights into the cutting-edge applications of big data in astrophysical research and its potential to unlock new cosmic mysteries.

Syllabus

Astrophysics in the age of big data


Taught by

Alan Turing Institute

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