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Zurich University
of Applied Sciences

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Square Kilometre Array: Mock-observations via generative deep learning

Description

In this project we use generative deep learning methods (GANs and VAEs) 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

Dr. Philipp Denzel, Yann Billeter

Project partners

Ecole polytechnique fédérale de Lausanne EPFL; Universität Zürich UZH; Eidgenössische Technische Hochschule Zürich ETHZ; Fachhochschule Nordwestschweiz FHNW; Universität Basel; Haute école spécialisée de Suisse occidentale HES-SO

Project status

completed, 09/2021 - 12/2024

Institute/Centre

Institute of Business Information Technology (IWI); Centre for Artificial Intelligence (CAI)

Funding partner

Staatssekretariat für Bildung, Forschung und Innovation SBFI

Project budget

240'000 CHF

Partner

Publications

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