213 citations
- Nagoya UniversityJP13 papers
- Obayashi (Japan)JP9 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP8 papers
- The University of TokyoJP6 papers
- Nagoya University HospitalJP5 papers
- Princeton UniversityUS5 papers
- Chiba UniversityJP4 papers
- Argonne National LaboratoryUS3 papers
- Carnegie Mellon UniversityUS3 papers
- Institute of Astronomy and Astrophysics, Academia SinicaTW3 papers
- Inter-University Centre for Astronomy and AstrophysicsIN3 papers
- Kyoto UniversityJP3 papers
24 papers
Euclid: Galaxy SED reconstruction in the PHZ processing function: impact on the PSF and the role of medium-band filters
Euclid Collaboration, F. Tarsitano, C. Schreiber +301
Weak lensing surveys require accurate correction for the point spread function (PSF) when measuring galaxy shapes. For a diffraction-limited PSF, as arises in space-based missions,…
Catalogs of optically-selected clusters and photometric luminous red galaxies from the Hyper Suprime-Cam Subaru Strategic Program final year dataset
Masamune Oguri, Yen-Ting Lin, Nobuhiro Okabe +9
We construct samples of optically-selected clusters and photometric luminous red galaxies (LRGs) from the Hyper Suprime-Cam Subaru Strategic Program final year dataset covering $\s…
Sensitivity toward dark matter annihilation imprints on 21-cm signal with SKA-Low: A convolutional neural network approach
Pravin Kumar Natwariya, Kenji Kadota, Atsushi J. Nishizawa
This study investigates the sensitivity of the radio interferometers to identify imprints of spatially inhomogeneous dark matter annihilation signatures in the 21-cm signal during…
Searching optimal scales for reconstructing cosmological initial conditions using convolutional neural networks
Koichiro Nakashima, Kiyotomo Ichiki, Atsushi J. Nishizawa +1
Reconstructing the initial density field of the Universe from the late-time matter distribution is a nontrivial task with implications for understanding structure formation in cosm…
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…
CMB lensing tomography with clustering estimation of lens redshift distributions
Shun Arai, John A. Peacock, Hironao Miyatake +1
We develop a clustering-based redshift estimation approach for CMB lensing tomography, focusing on the kernel function of the lensing galaxies. Within a linear galaxy bias framewor…