Exploring galaxy evolution with deep learning

Marc Huertas-Company

Observatoire de Paris

Thanks to rapidly improving technology,  astronomy is entering the big data era. New surveys that will be available in 2-5 years will contain multi-wavelength images of billions of galaxies and spectra for many tens of millions. The increase of computing power has also enabled us to run hydrodynamic numerical simulations that incorporate our knowledge of physics in a cosmological context and produce large amount of simulated data, spanning most of the Universe’s life.  Deep learning appears as an unavoidable solution to analyze the huge volume of data available to the community. But not only that, it also brings new opportunities to find new observables and tighten the link between theory and observations. In my talk I will review some of our key results and their impact in our understanding of how galaxies form and evolve.