Ruprecht-Karls-Universität Heidelberg

Astronomisches Rechen-Institut

Address:

Astronomisches Rechen-Institut
Mönchhofstr. 12-14
69120 Heidelberg
Germany
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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, star clusters, stellar astrophysics, the interstellar medium, astrometry, satellite missions, and calendrical calculations.

The ARI is involved in various national and international scientific networks and collaborations.  The institute plays a leading role in supporting the Gaia satellite mission of the European Space Agency and participates in the ground-based spectroscopic and photometric SDSS, 4MOST, and LSST surveys.

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Next Astro colloquia
Aug 21
11:00
Bridging the Divide: Studying the Resolved and Integrated Light of Nearby Galaxies in High Resolution
Ben Gibson (STScI)
Königstuhl Kolloquium
MPIA lecture hall,
Sep 18
11:00
TBA
Maria Bergemann (MPIA)
Königstuhl Kolloquium
Max-Planck-Institut für Astronomie, Level 3 Lecture Hall (301)
Oct 02
11:00
TBD
Duncan Christie (MPIA)
Königstuhl Kolloquium
Max-Planck-Institut für Astronomie, Level 3 Lecture Hall (301)

More colloquia

Recent ZAH publications
7/2026
Chen, Yu-Ching; Zakamska, Nadia L. et al. (inc. Bertemes, Caroline; Wylezalek, Dominika)
JWST Integral Field Unit Observations Uncover Host Galaxy Continua in Extremely Red and Obscured Quasars
ApJ 1006, 76(2026)

8/2026
Chan, Julian; Gualandris, Alessia et al. (inc. Dehnen, Walter)
Perturber-driven dynamics of supermassive black hole binaries in galaxy mergers
MNRAS 550, g1374(2026)

10/2026
Schweder, F.; Trujillo-Gomez, S. et al.
Probabilistic estimation of galactic inclinations: Inferring calibrated uncertainties using a network trained on cosmological simulations
A&C 57, 01132(2026)


More publications