Department of Computer Science

High-performance computing Lab (HPCLab)

Our research group develops and utilises high-performance and data intensive computing (HPC) methods and applications for heterogeneous NUMA-architectures.

Our spearhead area is astroinformatics, namely methods and tools for simulating and analysing data from complex (astro)physical systems, such as turbulent fluids, the Sun, and 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, Inno4Scale project NEOSC).
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.

News

HPCLab 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.

Latest publications

Mission concept for SURROUND: Operational space weather detection and tracking using small spacecraft

Alejandro Macario-Rojas, Dale Weigt, Luis Alberto Cañizares, Shane A. Maloney, Sophie A. Murray, Peter T. Gallagher, Nicholas Crisp, Ciara McGrath 2026 Acta Astronautica

Anticipating additional exoplanets in multi-planetary systems

M. Mousavi-Sadr, G. Gozaliasl, D. M. Jassur 2026 Proceedings of the International Astronomical Union

Refining the exoplanet mass-radius relation using machine learning

M. Mousavi-Sadr, G. Gozaliasl, D. M. Jassur 2026 Proceedings of the International Astronomical Union

An ultra-high-resolution map of (dark) matter

Diana Scognamiglio, Gavin Leroy, David Harvey, Richard Massey, Jason Rhodes, Hollis B. Akins, Malte Brinch, Edward Berman, Caitlin M. Casey, Nicole E. Drakos, Andreas L. Faisst, Maximilien Franco, Leo W.H. Fung, Ghassem Gozaliasl, Qiuhan He, Hossein Hatamnia, Eric Huff, Natalie B. Hogg, Olivier Ilbert, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Shouwen Jin, Erini Lambrides, Alexie Leauthaud, Zane D. Lentz, Daizhong Liu, Guillaume Mahler, Claudia Maraston, Crystal L. Martin, Jacqueline McCleary, James Nightingale, Bahram Mobasher, Louise Paquereau, Sandrine Pires, Brant E. Robertson, David B. Sanders, Claudia Scarlata, Marko Shuntov, Greta Toni, Maximilian von Wietersheim-Kramsta, John R. Weaver 2026 Nature Astronomy

Euclid preparation LXXIII. Spatially resolved stellar populations of local galaxies with Euclid : A proof of concept using synthetic images with the TNG50 simulation

C. Tortora, M. Baes, A. Nersesian, I. Kovačić, M. Bolzonella, A. Lançon, L. Bisigello, F. Annibali, M. N. Bremer, D. Carollo, C. J. Conselice, A. Enia, A. M.N. Ferguson, A. Ferré-Mateu, L. K. Hunt, E. Iodice, J. H. Knapen, A. Iovino, F. R. Marleau, R. F. Peletier, R. Ragusa, M. Rejkuba, A. S.G. Robotham, J. Román, T. Saifollahi, P. Salucci, M. Scodeggio, M. Siudek, A. van der Wel, K. Voggel, B. Altieri, S. Andreon, C. Baccigalupi, M. Baldi, S. Bardelli, A. Biviano, A. Bonchi, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. M. Niemi, P. Schneider, Y. Wang, M. Calabrese, G. Gozaliasl, A. Hall, J. Hjorth, S. Lee 2025 Astronomy & Astrophysics

COSMOS-Web: Estimating Physical Parameters of Galaxies Using Self-Organizing Maps

Fatemeh Abedini, Ghassem Gozaliasl, Akram Hasani Zonoozi, Atousa Kalantari, Maarit Korpi-Lagg, Olivier Ilbert, Hollis Akins, Natalie Allen, Rafael Arango-Toro, Caitlin Casey, Nicole Drakos, Andreas Faisst, Carter Flayhart, Maximilien Franco, Hosein Haghi, Santosh Harish, Hossein Hatamnia, Jeyhan Kartaltepe, Ali Khostovan, Anton Koekemoer, Vasily Kokorev, Rebecca Larson, Gavin Leroy, Daizhong Liu, Henry McCracken, Jed McKinney, Nicolas McMahon, Wilfried Mercier, Bahram Mobasher, Sophie Newman, Louise Paquereau, Jason Rhodes, Brant Robertson, Marko Shuntov, Sina Taamoli, Sune Toft, Francesco Valentino, Eleni Vardoulaki, John Weaver 2025 arXiv.org

COSMOS-web : The Overabundance and Physical Nature of “Little Red Dots”—Implications for Early Galaxy and SMBH Assembly

Hollis B. Akins, Caitlin M. Casey, Erini Lambrides, Natalie Allen, Irham T. Andika, Malte Brinch, Jaclyn B. Champagne, Olivia Cooper, Xuheng Ding, Nicole E. Drakos, Andreas Faisst, Steven L. Finkelstein, Maximilien Franco, Seiji Fujimoto, Fabrizio Gentile, Steven Gillman, Ghassem Gozaliasl, Santosh Harish, Christopher C. Hayward, Michaela Hirschmann, Olivier Ilbert, Jeyhan S. Kartaltepe, Dale D. Kocevski, Anton M. Koekemoer, Vasily Kokorev, Daizhong Liu, Arianna S. Long, Henry Joy McCracken, Jed McKinney, Masafusa Onoue, Louise Paquereau, Alvio Renzini, Jason Rhodes, Brant E. Robertson, Marko Shuntov, John D. Silverman, Takumi S. Tanaka, Sune Toft, Benny Trakhtenbrot, Francesco Valentino, Jorge Zavala 2025 Astrophysical Journal

Machine Learning Classification of COSMOS2020 Galaxies : Quiescent versus Star-forming

Vahid Asadi, Nima Chartab, Akram Hasani Zonoozi, Hosein Haghi, Ghassem Gozaliasl, Aryana Haghjoo, Bahram Mobasher 2025 Astrophysical Journal

Euclid preparation LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters

P. Bergamini, M. Meneghetti, G. Angora, L. Bazzanini, P. Rosati, C. Grillo, M. Lombardi, D. Abriola, A. Mercurio, F. Calura, G. Despali, J. M. Diego, R. Gavazzi, P. Hudelot, L. Leuzzi, G. Mahler, E. Merlin, C. Scarlata, N. Aghanim, B. Altieri, A. Amara, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, S. Bardelli, R. Bender, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, S. Casas, F. J. Castander, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, S. M. Niemi, A. G. Sánchez, P. Schneider, Y. Wang, M. Calabrese, G. Gozaliasl, A. Hall, J. Hjorth 2025 Astronomy & Astrophysics

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis

L. Blot, K. Tanidis, G. Cañas-Herrera, P. Carrilho, M. Bonici, S. Camera, V. F. Cardone, S. Casas, S. Davini, S. Di Domizio, S. Farrens, L. W. K. Goh, S. Gouyou Beauchamps, S. Ilić, S. Joudaki, F. Keil, A. M. C. Le Brun, M. Martinelli, C. Moretti, V. Pettorino, A. Pezzotta, Z. Sakr, A. G. Sánchez, D. Sciotti, I. Tutusaus, V. Ajani, M. Crocce, A. Fumagalli, C. Giocoli, L. Legrand, M. Lembo, G. F. Lesci, D. Navarro Girones, A. Nouri-Zonoz, S. Pamuk, A. Pourtsidou, M. Tsedrik, J. Bel, C. Carbone, C. A. J. Duncan, M. Kilbinger, D. Sapone, E. Sellentin, P. L. Taylor, L. Amendola, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, G. Gozaliasl 2025 Astronomy & Astrophysics
More information on our research in the Aalto research portal.
Research portal
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