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King Ghidorah Supercluster: Mapping the light and dark matter in a new supercluster at z=0.55 using the Subaru Hyper Suprime-Cam
Rhythm Shimakawa, Nobuhiro Okabe, Masato Shirasaki +1
This paper reports our discovery of the most massive supercluster, termed the King Ghidorah Supercluster (KGSc), at in the Third Public Data Release of the Hyper Supr…
Stacked phase-space density of galaxies around massive clusters: Comparison of dynamical and lensing masses
Masato Shirasaki, Eiichi Egami, Nobuhiro Okabe +1
We present a measurement of average histograms of line-of-sight velocities over pairs of galaxies and galaxy clusters. Since the histogram can be measured at different galaxy-clust…
Deep Learning for Line Intensity Mapping Observations: Information Extraction from Noisy Maps
Kana Moriwaki, Masato Shirasaki, Naoki Yoshida
Line intensity mapping (LIM) is a promising observational method to probe large-scale fluctuations of line emission from distant galaxies. Data from wide-field LIM observations all…
Deep learning for intensity mapping observations: Component extraction
Kana Moriwaki, Nina Filippova, Masato Shirasaki +1
Line intensity mapping (LIM) is an emerging observational method to study the large-scale structure of the Universe and its evolution. LIM does not resolve individual sources but p…
Weak gravitational lensing as a probe of physical properties of substructures in dark matter halos
Masato Shirasaki
We propose a novel method to select satellite galaxies in outer regions of galaxy groups or clusters using weak gravitational lensing. The method is based on the theoretical expect…