Public Science Events

17APR
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  11:00-12:00 Martigny, room 106

Deep learning-based analysis methods are gaining interest in cosmology due to their unique ability to create very rich and complex models. These models are particularly well suited for analysis of large scale structure data, as the matter density fields are comprised of highly nonlinear, complicated features, such as halos, filaments, sheets and voids. But can ... Read more about "Deep learning for cosmology: parameter measurement and generation of simulations"
By Dr Tomasz Kacprzak