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Tomomi Sunayama

Researcher at Institute for the Physics and Mathematics of the Universe

Publications -  22
Citations -  366

Tomomi Sunayama is an academic researcher from Institute for the Physics and Mathematics of the Universe. The author has contributed to research in topics: Galaxy & Dark matter. The author has an hindex of 9, co-authored 14 publications receiving 302 citations. Previous affiliations of Tomomi Sunayama include Yale University.

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Journal ArticleDOI

The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: the low-redshift sample

TL;DR: In this article, the authors report on the small scale (0:5 < r < 40h 1 Mpc) clustering of 78895 massive (M 10 11:3 M ) galaxies at 0:2 < z < 0:4 from the first two years of data from the Baryon Oscillation Spectroscopic Survey (BOSS), to be released as part of SDSS Data Release 9 (DR9).
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The scale-dependence of halo assembly bias

TL;DR: In this article, the scale-dependent assembly bias of the two-point clustering of dark matter halos is studied and shown to be influenced by halo properties besides mass, a phenomenon referred to as halo assembly bias.

The Scale-Dependence of Halo Assembly Bias

TL;DR: In this article, the scale-dependent assembly bias of the two-point clustering of dark matter halos is studied and shown to be influenced by halo properties besides mass, a phenomenon referred to as halo assembly bias.
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The splashback radius of optically selected clusters with Subaru HSC Second Public Data Release

TL;DR: In this article, the authors present analyses on the splashback features around optically selected galaxy clusters detected by the independent cluster-finding algorithm CAMIRA over a wide redshift range of $0.7 < 1.0$ from the second public data release of the Hyper Suprime-Cam (HSC) Subaru Strategic Program covering the cluster catalog.
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Efficient Construction of Mock Catalogs for Baryon Acoustic Oscillation Surveys

TL;DR: In this article, the authors introduce and test a scheme for generating mock catalogs rapidly using suitably derated N-body simulations to reproduce the large scale structure and gross properties of dark matter halos with high accuracy, while sacrificing details of the halo's internal structure.