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3rd National Sweden SKA Science Day

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Pärlan (Campus Albano Hus 1)

Pärlan

Campus Albano Hus 1

Albanovägen 26 Stockholm
Description

Ska_landscape_day
Credit: SKA Observatory

We are pleased to invite you to participate to the 3rd Sweden SKA Days hosted by Stockholm University: a two-day meeting about Swedish science and the SKA.  The goal of the Sweden SKA Days are to bring together researchers from across Sweden and abroad, working on SKA-related science, technology, and algorithm development. 

Abstract deadline: extended to 9 January 2026

Registration deadline: 14 January 2026

Invited speakers:

  • Michele Bianco (ETH Zurich)
  • Shari Breen (Head of Science Operations, SKAO)
  • Greta Guidi (Institut de Planetologie et d'Astrophysique de Grenoble)
  • Jens Jasche (Stockholm University)
  • Antonino Marasco (INAF-Osservatorio Astronomico di Padova)
  • Laurence Perrault-Levasseur (Université de Montréal)
  • Laura Spitler (Max Planck Institute for Radio Astronomy, Bonn)
  • Carmen Toribio (Chalmers University of Technology)
  • Stuart Wittley (Director of Programmes, SKAO)
  • Philippe Zarka (Observatoire de Paris)

With SKA Low and SKA Mid undergoing commissioning activities in 2026, and science verification starting in 2027, the SKA era is nearly upon us.  At the same time, the international SKA Regional Center Network (SRCNet) is developing the compute resources and data services to support SKA science activities.  The data volumes expected from the SKA telescopes will be vast, and new tools and algorithms are being developed to leverage the output from upcoming observations.

Specifically this third edition of the Sweden SKA Days aims to:

  • Update the scientific community on SKAO developments and SKA activities in Sweden including participation in the Science Data Challenges, and ongoing development of the Sweden SRC node.
  • Share results from SKA precursors and pathfinders, theoretical/simulation studies, and related work from complementary astronomical facilities (e.g. ALMA, Euclid, JWST, 4MOST, etc). Contributors are encouraged to present their work in a synergistic and/or prospective manner with regards to the SKA.
  • Explore the potential for applying Machine Learning/AI techniques in providing insight and analysis to large-scale data and answering scientific questions from the SKA.
  • Encourage scientific collaborations among groups interested in answering questions with SKA precursors/pathfinders and the next generation of SKA radio surveys.

The scientific motivation for building the SKA spans from cosmology and the early Universe, through galaxy evolution, to stellar astrophysics and planet formation.  SKA science is motivated by fundamental physics of gravity and magnetism, multi-discipliary fields such as astrochemistry, and will record events occurring on the timescales of Gyr to sub-milliseconds.  This broad range of science areas are reflected in the SKA Science Working Groups.

We welcome international contributions, and especially encourage participation from our colleagues in other Nordic countries across all SKA science cases.  We particularly encourage early career researchers to submit abstracts and to attend: the future of SKA science will be yours!

The meeting will include both invited and contributed talks, time for discussions, and hands-on sessions (TBA).  

Participants are expected to follow SKAO Code of conduct for meetings and events.

Past related meetings:
* 2nd National SKA Science Days Sweden, 2024
* 1st National SKA Science Day Sweden, 2023
* The SKA Key Science Workshop #1, 2015

sweskadays_programme_updated_Feb2.pdf
Participants
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  • Wednesday 4 February
  • Thursday 5 February
    • Session 4 (Chair: Franz Kirsten)
    • Coffee/Break
    • Session 5 (Chair: Santiago del Palacio)
      • 21
        A journey through data-driven high-dimensional inverse problems: how to use machine learning to maximize the information gain from modern astronomy data
        Speaker: Laurence Perreault-Levasseur (Université de Montréal and Mila)
      • 22
        Revealing Cosmic Structure Formation Through Machine Learning on Archival and SKA-Era Surveys
        Speaker: Tom Bakx (Chalmers University of Technology)
        SKA_TB_protoclusters.pdf
      • 23
        Protoplanetary disks and the onset of planet formation with the SKAO
        Speaker: Greta Guidi (IPAG Grenoble)
        Guidi-SKAdaysSweden-feb2026.pdf
      • 24
        Astromoprh – a machine learning approach to morphological analysis
        Speaker: Per Bjerkeli (Chalmers University of Technology)
        astromorph.pdf
      • 25
        A Multi-Wavelength Analysis of AGN and Star-Forming Cluster Galaxies
        Speaker: Sara Lundqvist (Luleå University of Technology)
    • Lunch
    • Session 6 (Chair & discussion moderator: Kirsty Butler)
      • 26
        Observing HI in and around simulated galaxies
        Speaker: Antonino Marasco (INAF - Padova Observatory)
        marasco_SKA_Sweden.pdf
      • 27
        Searching for dual AGN in galaxies using multi-wavelength observations
        Speaker: Vicente Horacio Salinas Froemel (chalmers.se)
        SKA2026_presentation.pdf
      • 28
        Discussion panel: Machine Learning and AI in the SKA era
        Speakers: Shari Breen (SKAO), Jens Jasche (Stockholm University), Maria Carmen Toribio Perez (chalmers.se), Michele Bianco (ETH Zurich)
        Discussion Panel - 3rd Swedish SKA DAy
    • Coffee/Break
    • Session 7 (Chair: Ivelin Georgiev)
      • 29
        Hooks, Lines, and Sinkers: How AGN Feedback and Cosmic Ray-Transport Shape the Far-Infrared Radio Correlation of Galaxies
        Speaker: Sam Ponnada (Caltech and Chalmers)
      • 30
        A new method for observationally constraining cosmic ray diffusion in nearby galaxies
        Speaker: Alice Knutas (Chalmers University of Technology)
    • Closing remarks - Garrelt Mellema