@article{836d36ce78be4057b04e664c99fe854a,
title = "Imaging extended emission-line regions of obscured AGN with the Subaru Hyper Suprime-Cam Survey",
abstract = "Narrow-line regions excited by active galactic nuclei (AGNs) are important for studying AGN photoionization and feedback. Their strong [OIII] lines can be detected with broad-band images, allowing morphological studies of these systems with large-area imaging surveys. We develop a new broad-band imaging technique to reconstruct the images of the [OIII] line, using the Subaru Hyper Suprime-Cam (HSC) Survey aided with spectra from the Sloan Digital Sky Survey (SDSS). The technique involves a careful subtraction of the galactic continuum to isolate emission from the [OIII]λ5007 and [O III]λ4959 lines. Compared to traditional targeted observations, this technique is more efficient at covering larger samples without dedicated observational resources. We apply this technique to an SDSS spectroscopically selected sample of 300 obscured AGN at redshifts 0.1-0.7, uncovering extended emission-line region candidates with sizes up to tens of kpc. With the largest sample of uniformly derived narrow-line region sizes, we revisit the narrow-line region size-luminosity relation. The area and radii of the [OIII] emission-line regions are strongly correlated with the AGN luminosity inferred from the mid-infrared (15 μm rest frame) with a power-law slope of 0.62 -0.06 +0.05 ± 0.10 (statistical and systematic errors), consistent with previous spectroscopic findings. We discuss the implications for the physics of AGN emission-line regions and future applications of this technique, which should be useful for current and next-generation imaging surveys to study AGN photoionization and feedback with large statistical samples.",
keywords = "(galaxies:) quasars: emission lines, Galaxies: active, Techniques: image processing",
author = "Sun, {Ai Lei} and Greene, {Jenny E.} and Zakamska, {Nadia L.} and Goulding, {Andy D.} and Strauss, {Michael A.} and Song Huang and Johnson, {Sean D.} and Toshihiro Kawaguchi and Yoshiki Matsuoka and Marsteller, {Alisabeth A.} and Tohru Nagao and Yoshiki Toba",
note = "Funding Information: A.-L. Sun would like to thank James E. Gunn, Robert Lupton, Jim Bosch, Peter Melchior, James H. H. Chan, Bau-Ching Hsieh, Yen-Ting Lin, and Masami Ouchi for guidance and enlightening discussions. The Hyper Suprime-Cam (HSC) collaboration includes the astronomical communities of Japan and Taiwan, and Princeton University. The HSC instrumentation and software were developed by the National Astronomical Observatory of Japan (NAOJ), the Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU), the University of Tokyo, the High Energy Accelerator Research Organization (KEK), the Academia Sinica Institute for Astronomy and Astrophysics in Taiwan (ASIAA), and Princeton University. Funding was contributed by the FIRST program from Japanese Cabinet Office, the Ministry of Education, Culture, Sports, Science and Technology (MEXT), the Japan Society for the Promotion of Science (JSPS), Japan Science and Technology Agency (JST), the Toray Science Foundation, NAOJ, Kavli IPMU, KEK, ASIAA, and Princeton University. This paper makes use of software developed for the Large Synoptic Survey Telescope. We thank the LSST Project for making their code available as free software at http://dm.lsst.org. This paper is based on the data collected at the Subaru Telescope and retrieved from the HSC data archive system, which is operated by the Subaru Telescope and Astronomy Data Center at National Astronomical Observatory of Japan. The Pan-STARRS1 Surveys (PS1) have been made possible through contributions of the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society, and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, Queen'sUniversity Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National CentralUniversity of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under Grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation under Grant No. AST-1238877, the University of Maryland, and Eotvos Lorand University (ELTE). Funding for SDSSIII has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III web site is http://www.sdss3.org/. SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. This paper makes use of packages available in PYTHON's open scientific ecosystem, including NUMPY (van derWalt, Colbert & Varoquaux 2011), SCIPY, 2 MATPLOTLIB (Hunter 2007), IPYTHON (Perez & Granger 2007), SCIKITLEARN (Pedregosa et al. 2011), and SCIKIT-IMAGE (van der Walt et al. 2014). This research made use of Astropy, a community-developed core PYTHON package for astronomy (Robitaille et al. 2013; The Astropy Collaboration 2018). This research made use of HumVI3 (Marshall et al. 2016), a open source software to generate color composite images Publisher Copyright: {\textcopyright} 2018 The Author(s).",
year = "2018",
month = oct,
doi = "10.1093/mnras/sty1394",
language = "English (US)",
volume = "480",
pages = "2302--2323",
journal = "Monthly Notices of the Royal Astronomical Society",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "2",
}