activity
20162022
most citedFull-sky Gravitational Lensing Simulation for Large-area Galaxy Surveys and Cosmic Microwave Background Experiments

160 citations · 350 across the 8 of their papers we have counts for

collaborators

33 papers

astro-ph.GA20227 cited

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…

astro-ph.CO202111 cited

Subaru Hyper Suprime-Cam excavates colossal over- and under-dense structures over 360 deg2 out to z=1

Rhythm Shimakawa, Yuichi Higuchi, Masato Shirasaki +8

Subaru Strategic Program with the Hyper-Suprime Cam (HSC-SSP) has proven to be successful with its extremely-wide area coverage in past years. Taking advantages of this feature, we…

astro-ph.CO2021

Searching for eV-mass Axion-like Particles with Cross Correlations between Line Intensity and Weak Lensing Maps

Masato Shirasaki

We study cross correlations between line intensity and weak lensing maps to search for axion-like particles (ALPs). Radiative decay of eV-mass ALPs can contribute to cosmic backgro…

astro-ph.GA2021

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…

astro-ph.CO2020

Constraining Primordial Non-Gaussianity with Post-reconstructed Galaxy Bispectrum in Redshift Space

Masato Shirasaki, Naonori S. Sugiyama, Ryuichi Takahashi +1

Galaxy bispectrum is a promising probe of inflationary physics in the early universe as a measure of primordial non-Gaussianity (PNG), whereas its signal-to-noise ratio is signific…

astro-ph.GA2020

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…