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Astrobicocca
Room U2-2016
Speaker: Keita Fukushima (Seoul National University)
Host: S. Cantalupo, N. Ledos
Host: S. Cantalupo, N. Ledos
Title: UV Luminosity Functions with Redshift- and Metallicity-Dependent IMF and Galaxy Quenching from Graph Neural Networks
Abstract: In this talk, I present two studies on galaxy evolution, focusing on the UV luminosity function at z > 10 and galaxy quenching at z = 0.
For the UV luminosity function, I introduce an IMF model dependent on redshift and metallicity and construct corresponding SED templates. By incorporating these templates into a semi-analytic framework, I investigate their impact on the UV luminosity function at high redshift and discuss implications for interpreting JWST observations at z > 10.
For galaxy quenching at z = 0, I analyze cosmological hydrodynamic simulations (GADGET4-Osaka) using graph neural networks. By representing galaxies and their environments as graph structures, I quantitatively explore how environmental processes contribute to the suppression of star formation.
For the UV luminosity function, I introduce an IMF model dependent on redshift and metallicity and construct corresponding SED templates. By incorporating these templates into a semi-analytic framework, I investigate their impact on the UV luminosity function at high redshift and discuss implications for interpreting JWST observations at z > 10.
For galaxy quenching at z = 0, I analyze cosmological hydrodynamic simulations (GADGET4-Osaka) using graph neural networks. By representing galaxies and their environments as graph structures, I quantitatively explore how environmental processes contribute to the suppression of star formation.
Argomento