Square Kilometre Array: Mock-observations via generative deep learning (GenAI4SKA)
Description
In this project we use generative deep learning methods (GANs and Diffusion Models) to produce realistic astronomical mock-observations of numerically simulated astrophysical objects, as they will be obseved by the Square Kilometre Array Telescope (SKA). This project contributes to the Swiss-wide activities for SKA of the SKACH Consortium.
Key data
Projectlead
Deputy Projectlead
Project team
Project partners
Ecole polytechnique fédérale de Lausanne EPFL; Universität Zürich; Eidgenössische Technische Hochschule Zürich ETH; Fachhochschule Nordwestschweiz FHNW; Universität Basel; Université de Genève; Haute école spécialisée de Suisse occidentale HES-SO
Project status
ongoing, started 01/2025
Institute/Centre
Institute of Business Information Technology (IWI); Centre for Artificial Intelligence (CAI)
Funding partner
Federal government
Project budget
309'000 CHF
