activity
20102025
most citedThe Hyper Suprime-Cam SSP Survey: Overview and Survey Design

1.1k citations · 4.7k across the 43 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

astro-ph.GA2016★ 38 cited

Clustering of infrared-bright dust-obscured galaxies revealed by the Hyper Suprime-Cam and WISE

Yoshiki Toba, Tohru Nagao, Masaru Kajisawa +20

We present measurements of the clustering properties of a sample of infrared (IR) bright dust-obscured galaxies (DOGs). Combining 125 deg of wide and deep optical images obtain…

astro-ph.GA2016★ 15 cited

Near-infrared spectroscopy of nearby Seyfert galaxies: Is there evidence for the shock excitation in narrow-line regions?

Koki Terao, Tohru Nagao, Tetsuya Hashimoto +5

One of the unsettled, important problems in active galactic nuclei (AGNs) is the major ionization mechanism of gas clouds in their narrow-line regions (NLRs). In order to investiga…

astro-ph.GA2016★ 12 cited

Revisiting the Completeness and the Luminosity Function in High-Redshift Low-Luminosity Quasar Surveys

Mana Niida, Tohru Nagao, Hiroyuki Ikeda +4

Recent studies have derived quasar luminosity functions (QLFs) at various redshifts. However, the faint side of the QLF at high redshifts is still too uncertain. An accurate estima…

astro-ph.GA2016★ 11 cited

An Effective Selection Method for Low-Mass Active Black Holes and First Spectroscopic Identification

Tomoki Morokuma, Nozomu Tominaga, Masaomi Tanaka +13

We present a new method to effectively select objects which may be low-mass active black holes (BHs) at galaxy centers using high-cadence optical imaging data, and our first spectr…

astro-ph.GA2016★ 210 cited

Subaru high-z exploration of low-luminosity quasars (SHELLQs). I. Discovery of 15 quasars and bright galaxies at 5.7 < z < 6.9

Yoshiki Matsuoka, Masafusa Onoue, Nobunari Kashikawa +36

We report the discovery of 15 quasars and bright galaxies at 5.7 < z < 6.9. This is the initial result from the Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs) projec…