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Making computer models of stars — is everything better in 3D?

PhD defence, Friday 31 January 2020. Jakob Lysgaard Rørsted.

2020.01.31 | Sunitha Satkunam

Jakob Lysgaard Rørsted

During his PhD studies, Jakob Lysgaard Rørsted researched computer models of stars like our Sun. Such computer models can help researchers understand the properties of the stars we observe and are invaluable for many different branches of astrophysics. One phenomenon which is particularly challenging to describe is convection: the turbulent motion of gas near the surface of solar-like stars.

Jakob has studied how to improve the present stellar models using advanced supercomputer-simulations of convection. The new research findings contribute to the future generation of computer models of stars, which will help in the search for a deeper understanding of stars, planets, galaxies, and the universe.

The PhD degree was completed at the Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Faculty of Natural Sciences, Aarhus University.

This résumé was prepared by the PhD student.

Time: Friday 31 January 2020 at 13:00
Place: Bulding 1525, Room 626 (det skæve rum), Department of Physics and Astronomy, Aarhus University
Title of PhD thesis: The Quest for Better Stellar Models — A Tale in Three Dimensions
Contact information: Jakob Lysgaard Rørsted, e-mail: jakob@phys.au.dk, tel.: +45 87155864
Members of the assessment committee:
Professor Martin Asplund, Mount Stromlo Observatory, Australian National University, Australia
Professor Marie-Jo Goupil, LESIA, Observatoire de Paris, Meudon, France
Professor Steen Hannestad, Physics and Astronomy, Aarhus University (chair)
Main supervisor:
Associate Professor Víctor Silva Aguirre, Stellar Astrophysics Centre, Aarhus University
Professor Jørgen Christensen-Dalsgaard, Stellar Astrophysics Centre, Aarhus University
Professor Achim Weiss, Max-Planck-Institut für Astrophysik, Garching, Germany
Language: The PhD thesis will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1521, 8000 Aarhus C.

PhD defence
12180 / i43