Deep Learning in the Cosmos: Machine Learning (ML) Applications for Astronomy and Cosmology

Deep learning has helped advance the state-of-the-art in multiple fields over the last decade, with scientific research as no exception.

 

The Kepler instrument is a space-based telescope designed to study and planets outside our solar system, aka exoplanets. The first exoplanet orbiting a star like our own was described by Didier Queloz and Michel Mayor in 1995, landing the pair the 2019 Nobel Prize in Physics. More than a decade later when Kepler was launched in 2009, the total number of known exoplanets was less than 400. The now-dormant telescope began operation in 2009, discovering more than 1,000 new exoplanets before a reaction wheel, a component used for precision pointing, failed in 2013.

 

Read the full article at: towardsdatascience.com