Ruprecht-Karls-Universität Heidelberg

Astronomisches Rechen-Institut


Prof. Dr. Eva Grebel   and
Prof. Dr. Joachim Wambsganß
Tel: +49 6221 54 1801 (Secretary)
FAX: +49 6221 54 1888


Astronomisches Rechen-Institut
Mönchhofstr. 12-14
69120 Heidelberg

The Astronomisches Rechen-Institut (ARI) is part of the newly established Centre for Astronomy of Heidelberg University (Zentrum für Astronomie der Universität Heidelberg or ZAH). The other two institutes in the ZAH are the Institute for Theoretical Astrophysics (Institut für Theoretische Astrophysik or ITA) and the State Observatory Königstuhl (Landessternwarte Königstuhl or LSW).

The scientific activities at the ARI cover a broad range of research areas including cosmology, gravitational lensing, galaxy evolution, stellar dynamics, astrometry, satellite missions, and calendrical calculations.

The ARI is involved in various local, European, and worldwide scientific networks and collaborations. The ARI plays a leading role in the preparation of the Gaia satellite mission of the European Space Agency. The ARI also operates a special high-performance computer for calculating gravitational interactions.

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Jun 25
Re-discovering the Milky Way: a journey through data and simulations
Dr. Sergey Khoperskov (Leibniz-Institut für Astrophysik Potsdam)
Heidelberg Joint Astronomical Colloquium
Philosophenweg 12, Main Lecture hall (gHS)
Jun 27
Mapping AGN Ionized Gas Outflows: Insights from Different Selection Techniques
Marco Alban (ARI)
ARI Institute Colloquium
ARI, Moenchhofstrasse 12-14, Seminarraum 1.OG
Jun 28
Aarynn Carter (STScI)
Königstuhl Kolloquium
Max-Planck-Institut für Astronomie, Level 3 Lecture Hall (301)

Recent publications
Leidi, G.; Andrassy, R. et al. (inc. Röpke, F. K.)
Performance of high-order Godunov-type methods in simulations of astrophysical low Mach number flows
A&A 686, A34(2024)

Rupke, David S. N.; Coil, Alison L. et al.
The Intrinsic Sizes of Odd Radio Circles
ApJ 967, 51(2024)

Baron, Dalya; Sandstrom, Karin M. et al. (inc. Chevance, Mélanie; Méndez-Delgado, José E.; Klessen, Ralf S.; Egorov, Oleg V.)
PHANGS-ML: Dissecting Multiphase Gas and Dust in Nearby Galaxies Using Machine Learning
ApJ 968, 24(2024)