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20002023
most citedCIGALE: a python Code Investigating GALaxy Emission

1.3k citations · 10.1k across the 146 of their papers we have counts for

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Showing 2021Show all

16 papers · 1 filter

astro-ph.GA2021★ 109 cited

A Search for H-Dropout Lyman Break Galaxies at z~12-16

Yuichi Harikane, Akio K. Inoue, Ken Mawatari +11

We present two bright galaxy candidates at z~12-13 identified in our H-dropout Lyman break selection with 2.3 deg2 near-infrared deep imaging data. These galaxy candidates, selecte…

astro-ph.GA2021★ 8 cited

A Morphological Study on Galaxies Hosting Optical Variability-Selected AGNs in the COSMOS Field

Yuxing Zhong, Akio K. Inoue, Satoshi Yamanaka +1

The morphological study is crucial to investigate the connections between active galactic nuclei (AGN) activities and the evolution of galaxies. Substantial studies have found that…

astro-ph.GA2021★ 42 cited

SILVERRUSH XI: Constraints on the Ly luminosity function and cosmic reionization at with Subaru/Hyper Suprime-Cam

Hinako Goto, Kazuhiro Shimasaku, Satoshi Yamanaka +6

The Ly luminosity function (LF) of Ly emitters (LAEs) has been used to constrain the neutral hydrogen fraction in the intergalactic medium (IGM) and thus the timeline of cosm…

astro-ph.GA2021

Subaru/FOCAS IFU revealed the metallicity gradient of a local extremely metal-poor galaxy

Yuri Kashiwagi, Akio K. Inoue, Yuki Isobe +6

We present the first measurement of the metallicity gradient in extremely metal-poor galaxies (EMPGs). With Subaru/Faint Object Camera And Spectrograph (FOCAS) Integral Field Unit…

astro-ph.GA2021

The SSA22 HI Tomography Survey (SSA22-HIT). I. Data Set and Compiled Redshift Catalog

Ken Mawatari, Akio K. Inoue, Toru Yamada +16

We conducted a deep spectroscopic survey, named SSA22-HIT, in the SSA22 field with the DEep Imaging MultiObject Spectrograph (DEIMOS) on the Keck telescope, designed to tomographic…

astro-ph.GA2021

Where's Swimmy?: Mining unique color features buried in galaxies by deep anomaly detection using Subaru Hyper Suprime-Cam data

Takumi S. Tanaka, Rhythm Shimakawa, Kazuhiro Shimasaku +4

We present the Swimmy (Subaru WIde-field Machine-learning anoMalY) survey program, a deep-learning-based search for unique sources using multicolored () imaging data from th…