26–29 May 2026
Radisson Blu Marina Palace Hotel
Europe/Helsinki timezone

Session

28-A2: Galaxies

Th-08A
28 May 2026, 15:00
Room A

Room A

Description

Chair: Seppo Mattila

Presentation materials

There are no materials yet.

  1. Pablo Araya Araya (Cosmic Dawn Center)
    28/05/2026, 15:00
    Oral

    High-redshift ($z \gtrsim 2$) massive quiescent (MQ) galaxies offer a unique window into the physical processes that fuel and quench star formation in the early Universe. Observational evidence suggests a potential evolutionary link between MQs and dusty star-forming galaxies (DSFGs), another extreme population at high redshift. However, galaxy formation models have historically struggled to...

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  2. Miranda Kiran Husted Andersen (The Thecnical University of Denmark)
    28/05/2026, 15:15
    Oral

    To understand the galaxies of today, we must understand the galaxies of the past. The cosmic star formation activity peaked around z~2, a time known as the cosmic noon. At this time galaxies look quite different than today. More than 50% of the star formation activities were obscured by dust and reemitted in far-infrared/submillimetre. Galaxies dominated by submillimetre emission (> 1 mJy at...

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  3. Till Sawala (University of Helsinki)
    28/05/2026, 15:30
    Oral

    The evolution of galaxies in their mutual gravitational potentials is a recurrent problem in extragalactic astrophysics. It is commonly modeled under several simplifying assumptions, which break down when more than one galaxy is extended and massive, when galaxies are overlapping, or when the interaction involves more than two objects. I will review the usual methods for orbital integration,...

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  4. Fatemeh Abedini
    28/05/2026, 15:45
    Oral

    The COSMOS-Web survey, with its unparalleled combination of multiband data, notably, near-infrared imaging from \textit{JWST}'s NIRCam (F115W, F150W, F277W, and F444W), provides a transformative dataset down to $\sim28$ mag (F444W) for studying galaxy evolution. In this work, we employ Self-Organizing Maps (SOMs), an unsupervised machine learning method, to estimate key physical parameters of...

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  5. Peter Johansson (University of Helsinki)
    28/05/2026, 16:00
    Oral

    Traditional numerical simulations employing gravitational softening are unable to resolve the small-scale dynamics and gravitational wave emission from supermassive black hole binaries. Instead, the parsec-scale dynamics is typically modelled by post-processing the simulations using semi-analytic methods based on orbit-averaged equations. An alternative is to use a hybrid approach, such as the...

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