68 citations · 87 across the 20 of their papers we have counts for
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The CAMELS-CROCODILE Simulation Suite: A New Cosmology--Astrophysics Playground for Machine Learning
Kentaro Nagamine, Yuri Oku, Atsushi J. Nishizawa +4
We present CAMELS-CROCODILE, a suite of cosmological hydrodynamic simulations that extends the CAMELS framework with the \gadget{} smoothed particle hydrodynamics code and the Osak…
Insights into the dependence of galaxy properties on the environment with explainable machine learning models
Shun-ya S. Uchida, Suchetha Cooray, Atsushi J. Nishizawa +2
Galaxies reside within dark matter halos, but their properties are influenced not only by their halo properties but also by the surrounding environment. We construct an interpretab…
AGN properties of ~1 million member galaxies of galaxy groups and clusters at z < 1.4 based on the Subaru Hyper Suprime-Cam survey
Yoshiki Toba, Aoi Hashiguchi, Naomi Ota +17
Herein, we present the statistical properties of active galactic nuclei (AGNs) for approximately 1 million member galaxies of galaxy groups and clusters, with 0.1 cluster redsh…
AGN number fraction in galaxy groups and clusters at z < 1.4 from the Subaru Hyper Suprime-Cam survey
Aoi Hashiguchi, Yoshiki Toba, Naomi Ota +20
One of the key questions on active galactic nuclei (AGN) in galaxy clusters is how AGN could affect the formation and evolution of member galaxies and galaxy clusters in the histor…
Luminous Quasars Do Not Live in the Most Overdense Regions of Galaxies at z~4
Hisakazu Uchiyama, Jun Toshikawa, Nobunari Kashikawa +22
We present the cross-correlation between 151 luminous quasars () and 179 protocluster candidates at , extracted from the Wide imaging survey ($…