68 citations · 87 across the 20 of their papers we have counts for
5 papers · 1 filter
Limited Impact of CMB B-mode Polarization on Constraints on Cosmic Topology
Ryota Himeno, Atsushi J. Nishizawa, Kiyotomo Ichiki
The global spatial structure of the universe is a fundamental question in cosmology. Although the standard model usually assumes a trivial topology, a multiply connected universe c…
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…
Future of Artificial Intelligence for Science in Japan 2024 Community Report
Yoshitaka Itow, Jia Liu, Hirokazu Maesaka +16
This white paper summarizes scientific challenges and AI/ML research opportunities identified through the FAIRS Japan 2024 unconference process. The discussion focuses on three maj…
Weak-lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: III. A precision cosmological sample enabled by optical confirmation
I-Non Chiu, Kai-Feng Chen, Masamune Oguri +9
We develop fCAMIRA (forced-mode CAMIRA), a tool for optical cluster confirmation, and apply it to a sample of 129 weak-lensing (WL) shear-selected galaxy clusters identified in ape…
Standard Reconstruction Shifts the Optimal Input Scale for CNN-Based Density-Field Reconstruction
Koichiro Nakashima, Kiyotomo Ichiki, Atsushi J. Nishizawa
We investigate convolutional neural network (CNN) methods for reconstructing the high-redshift density field from late-time large-scale structure, focusing on how the physical scal…