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Sep 16 – 20, 2019
University of Stuttgart, Campus Vaihingen
Europe/Berlin timezone

Computational Astrophysics


Thursday, September 19, 14:00-18:30

Room: 47.02

Philipp Grete (Michigan State University)

Numerical simulations are a key pillar of modern research. This is especially true for astrophysics where the availability of detailed spatial and temporal data from observations is often sparse for many systems of interest. In many areas large-scale simulations are required, e.g., in support of the interpretation of observations, for theoretical modeling, or in the planning of experiments and observation campaigns. The need and and relevance of large-scale simulations in astrophysics is reflected in a significant share of 25-30% of the overall German supercomputing time. While the supercomputing landscape has been stable for a long time, it started to change in recent years on the path towards the first exascale supercomputer. New technologies such as GPUs for general purpose computing, ARM based platforms (versus x86 platforms), and manycore systems in general have been introduced and require to rethink and revisit traditional algorithms and methods.

This splinter meeting will bring together experts in computational astrophysics from all fields covering (but not limited to) fluid-based methods (from hydrodynamics to general relativistic magnetohydrodynamics), kinetic simulations, radiation transport, chemistry, and N-body dynamics applied to astrophysical systems on all scales, e.g., supernovae, planetary and solar dynamos, accretion disks, interstellar, circumgalactic, and intracluster media, or cosmological simulations.

The goal of this meeting is to present and discuss recent developments in computational astrophysics and their application to current problems.
Thus, contributions involving large-scale simulations and new methods/algorithms are specifically welcome.
In addition to astrophysical results obtained from simulations, speakers are also encouraged to highlight numerical challenges they encountered and how they addressed those in their codes. These may include, but are not limited to, new algorithms (e.g., higher-order methods), changing HPC environments (e.g., manycore, GPUs, or FPGAs), or data storage (e.g., availability of space, sharing, or long term retention).


14:00 – 14:10 Introduction & Welcome

14:10 – 14:35 O’LEARY, Joseph: Empirical models and the galaxy-galaxy merger rate

14:35 – 15:00 SELG, Simon: Towards magnetic field amplification and star bursts induced by mergers of disk

15:10 – 15:40 Coffee Break & Poster Session (Foyer of Pfaffenwaldring 47)

15:50 – 16:15 KUIPER, Rolf: Advantages and disadvantages of approximate radiation transport methods:
Enormous benefits or tremendous errors?

16:15 – 16:40 STEINWANDEL, Ulrich: Resolving the galactic Dynamo of the Milky Way

16:40 – 17:05 KRUIJSSEN, Diederik: A unified model for describing star formation, feedback, and star cluster
formation and evolution within galaxy formation simulations

17:05 – 17:30 MOSTER, Benjamin: Connecting observed galaxies and simulated dark matter haloes with a deep neural network

17:30 – 17:55 GRETE, Philipp: K-Athena – a performance portable structured grid finite volume MHD code

17:55 – 18:30 Discussion

Related posters:

Name Title
STEINWANDEL, Ulrich On the importance of the compact wave solution in magnetohydrodynamical

Resonant Drag Instabilities: Consequences for the atmospheres of AGB-stars

BLANK, Marvin Say NIHAO to Black Holes