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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Nov 28
Cracking the Cosmic-ray Conundrum
Dr Brian Reville (Max-Planck-Institut für Kernphysik, Heidelberg)
Heidelberg Joint Astronomical Colloquium
Philosophenweg 12, Main Lecture hall (gHS)
Nov 30
Using interferometry to model the atmospheric extension of red supergiants
Gemma Gonzalez-Tora (ARI)
ARI Institute Colloquium
ARI, Moenchhofstrasse 12-14, Seminarraum 1.OG
Dec 01
Vivien Parmentier (Université C?'te d'Azur)
Königstuhl Kolloquium
Max-Planck-Institut für Astronomie, Level 3 Lecture Hall (301)

Recent publications
Arca Sedda, Manuel; Kamlah, Albrecht W. H. et al. (inc. Berczik, Peter; Spurzem, Rainer)
The DRAGON-II simulations - II. Formation mechanisms, mass, and spin of intermediate-mass black holes in star clusters with up to 1 million stars
MNRAS 526, 429(2023)

Hannon, Stephen; Whitmore, Bradley C. et al. (inc. Scheuermann, Fabian; Chevance, Mélanie; Klessen, Ralf)
Star cluster classification using deep transfer learning with PHANGS-HST
MNRAS 526, 2991(2023)

Röver, Lennart; von Campe, Heinrich; Herzog, Maximilian Philipp; Kuntz, Rebecca Maria; Schäfer, Björn Malte
Partition function approach to non-Gaussian likelihoods: physically motivated convergence criteria for Markov chains
MNRAS 526, 473(2023)