Department of Computer Science


The group develops and utilises high-performance computing tools for simulating and analysing data from complex (astro)physical systems, such as turbulent fluids, the Sun, interstellar matter in galaxies. The developed methods include simulation tools accelerated with graphics processing units, and data-analysis tools employing machine learning. Our current projects aim at understanding, predicting, and mitigating the harmful effects from solar magnetic activity (ERC consolidator grant UniSDyn, ERC proof-of-concept grant SYCOS).
Model of the Sun from PRACE project INTERDYNS
Solar convection zone modelled in the PRACE project INTERDYNS. Simulations were performed with the Pencil Code. Image copyright Ameya Prabhu.


Astroinformatics research group news

ReSolve CoE (Astroinformatics research group) determined magnetic helicity spectrum
Department of Computer Science

Evidence of turbulent dynamo action in the Sun

Astroinformatics research group has determined magnetic helicity spectrum from the solar surface observations using the recently developed two-scale formalism.
Figure 1. Butterfly diagram of f-mode energy variations, computed from collapsed ring diagrams. The temporal average has been subtracted from the data, and is shown as the black line in the right panel. Its error bars represent the time-averaged standard deviation of the fluctuations of the f-mode energy around the signal for every bin.
Department of Computer Science

Surface gravity oscillation mode shows remarkable solar cycle dependence

12 years of satellite data was used to reveal an enigmatic behaviour of the surface-gravity wave energy contained in the most quiet regions on solar surface.
Turbulence at high Reynolds number in solar-like conditions. Image credit: Jörn Warnecke, MPS
Department of Computer Science

LUMI-G pilot

VISSI-project was selected as LUMI-G pilot
Simulated supernova remnant gas density with turbulent shell
Department of Computer Science

Dust destruction in Supernova blast waves

A supernova explosion blasts hot supersonic plasma, destroying more interstellar dust in its path than fits current theory or observations of dust abundances in early galaxies.


Frederick Gent

Frederick Gent

Research Fellow
T313 Dept. Computer Science

Johannes Pekkilä

Doctoral Researcher
T313 Dept. Computer Science

Jan Snellman

Postdoctoral Researcher

Latest publications

The Small-scale Dynamo in a Multiphase Supernova-driven Medium

Frederick A. Gent, Mordecai Mark Mac Low, Maarit J. Korpi-Lagg, Nishant K. Singh 2023 Astrophysical Journal

Small-Scale Dynamos : From Idealized Models to Solar and Stellar Applications

Matthias Rempel, Tanayveer Bhatia, Luis Bellot Rubio, Maarit J. Korpi-Lagg 2023 Space Science Reviews

Steady states of the Parker instability : the effects of rotation

Devika Tharakkal, Anvar Shukurov, Frederick A. Gent, Graeme R. Sarson, Andrew Snodin 2023 Monthly Notices of the Royal Astronomical Society

Numerical evidence for a small-scale dynamo approaching solar magnetic Prandtl numbers

Jörn Warnecke, Maarit J. Korpi-Lagg, Frederick A. Gent, Matthias Rheinhardt 2023 Nature Astronomy

Mean fields and fluctuations in compressible magnetohydrodynamic flows

James F. Hollins, Graeme R. Sarson, Cetin Can Evirgen, Anvar Shukurov, Andrew Fletcher, Frederick A. Gent 2022 GEOPHYSICAL AND ASTROPHYSICAL FLUID DYNAMICS

Solar-cycle variation of quiet-Sun magnetism and surface gravity oscillation mode

M. J. Korpi-Lagg, A. Korpi-Lagg, N. Olspert, H. L. Truong 2022 Astronomy and Astrophysics

Compressible Test-field Method and Its Application to Shear Dynamos

Maarit J. Käpylä, Matthias Rheinhardt, Axel Brandenburg 2022 The Astrophysical Journal

Topological changes in the magnetic field of LQ Hya during an activity minimum

J. J. Lehtinen, M. J. Käpylä, T. Hackman, O. Kochukhov, T. Willamo, S. C. Marsden, S. V. Jeffers, G. W. Henry, L. Jetsu 2022 Astronomy and Astrophysics

Scalable communication for high-order stencil computations using CUDA-aware MPI

Johannes Pekkilä, Miikka S. Väisälä, Maarit J. Käpylä, Matthias Rheinhardt, Oskar Lappi 2022 PARALLEL COMPUTING

Modelling the interplay between epidemics and regional socio-economics

Jan E. Snellman, Rafael A. Barrio, Kimmo K. Kaski, Maarit J. Käpylä 2022 Physica A: Statistical Mechanics and its Applications
More information on our research in the Aalto research portal.
Research portal
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