Japan Geoscience Union Meeting 2021

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI35] Computational sciences on the universe, galaxies, stars, planets, and their environments

Fri. Jun 4, 2021 9:00 AM - 10:30 AM Ch.03 (Zoom Room 03)

convener:Yoshi-Yuki Hayashi(Department of Planetology/CPS, Graduate School of Science, Kobe University), Junichiro Makino(Kobe University), Kanya Kusano(Institute for Space-Earth Environmental Research, Nagoya University), Shigeru Ida(Earth-Life Science Institute, Tokyo Institute of Technology), Chairperson:Junichiro Makino(Kobe University), Yoshi-Yuki Hayashi(Department of Planetology/CPS, Graduate School of Science, Kobe University), Kanya Kusano(Institute for Space-Earth Environmental Research, Nagoya University), Eiichiro Kokubo(Division of Science, National Astronomical Observatory of Japan), Takayuki Saitoh(Kobe university)

9:45 AM - 10:00 AM

[MGI35-04] Semi-analytic modeling of galaxies and AGN in the Fugaku era

*Taira Oogi1, Hikari Shirakata2, Masahiro Nagashima3, Takahiro Nishimichi4, Toshihiro Kawaguchi5, Takashi Okamoto6, Tomoaki Ishiyama1, Motohiro Enoki7 (1.Chiba University, 2.Tadano Ltd., 3.Bunkyo University, 4.Yukawa Institute for Theoretical Physics, Kyoto University, 5.Onomichi City University, 6.Hokkaido University, 7.Tokyo Keizai University)

Keywords:Galaxies, Active Galactic Nuclei, Large Scale Structure of the Universe, Cosmological N-body simulation

We present an updated version of our semi-analytic galaxy and AGN formation model, the New Numerical Galaxy Catalog, nu2GC.
The major update of the model is the merger trees of dark matter halos.
We construct the halo merger trees using an ultralarge cosmological N-body simulation, named Uchuu, which consists of 262 billion particles in a box of 2 Gpc/h.
The unprecedentedly large and high-resolution simulation allows us accurate determination of measurements of rare objects, such as autocorrelation functions of AGNs.
We show the basic statistical properties of galaxies and AGNs in our model, focusing on the spacial clustering of them.
The model prediction indicates that the time-scale of gas accretion on to the supermassive black holes plays a significant role in allowing massive halos to host relatively faint population of AGNs.
We find that the shape of the predicted AGN correlation function shows remarkable agreement with those from observations.