Square Kilometre Array: Mock-observations via generative deep learning
At a glance
- Project leader : Dr. Elena Gavagnin
- Deputy of project leader : Dr. Frank-Peter Schilling
- Project team : Dr. Philipp Benedikt Denzel
- Project budget : CHF 240'000
- Project status : ongoing
- Funding partner : Federal government (Staatssekretariat für Bildung, Forschung und Innovation SBFI)
- Project partner : Ecole polytechnique fédérale de Lausanne EPFL, Universität Zürich, Eidgenössische Technische Hochschule Zürich ETH, Fachhochschule Nordwestschweiz FHNW, Universität Basel, Haute école spécialisée de Suisse occidentale HES-SO
- Contact person : Elena Gavagnin
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.
Further information
Publications
-
Denzel, Philipp; Schilling, Frank-Peter; Gavagnin, Elena,
2023.
Map-to-map translation for SKA mock observations and cosmological simulations [poster].
In:
Hammers & Nails 2023 - Swiss Edition, Ascona, Switzerland, 29 October - 3 November 2023.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-29047
-
Denzel, Philipp Benedikt; Schilling, Frank-Peter; Gavagnin, Elena,
2023.
Deep learning the SKA : the Square Kilometer Array project [poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27219