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Title: Subaru Hyper Suprime-Cam revisits the large-scale environmental dependence on galaxy morphology over 360 deg2 at z = 0.3–0.6

Abstract

Abstract This study investigates the role of large-scale environments on the fraction of spiral galaxies at z = 0.3–0.6 sliced to three redshift bins of Δz = 0.1. Here, we sample 276220 massive galaxies in a limited stellar mass of 5 × 1010 solar mass (∼M*) over 360 deg2, as obtained from the Second Public Data Release of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). By combining projected two-dimensional density information (Shimakawa et al. 2021, MNRAS, 503, 3896) and the CAMIRA cluster catalog (Oguri et al. 2018, PASJ, 70, S20), we investigate the spiral fraction across large-scale overdensities and in the vicinity of red sequence clusters. We adopt transfer learning to reduce the cost of labeling spiral galaxies significantly and then perform stacking analysis across the entire field to overcome the limitations of sample size. Here we employ a morphological classification catalog by the Galaxy Zoo Hubble (Willett et al., 2017, MNRAS, 464, 4176) to train the deep learning model. Based on 74103 sources classified as spirals, we find moderate morphology–density relations on a 10 comoving Mpc scale, thanks to the wide-field coverage of HSC-SSP. Clear deficits of spiral galaxies have also been confirmed, in and around 1136 red sequence clusters. Furthermore, we verifymore » whether there is a large-scale environmental dependence on rest-frame u − r colors of spiral galaxies; such a tendency was not observed in our sample.« less

Authors:
ORCiD logo; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1826839
Resource Type:
Published Article
Journal Name:
Publications of the Astronomical Society of Japan
Additional Journal Information:
Journal Name: Publications of the Astronomical Society of Japan Journal Volume: 73 Journal Issue: 6; Journal ID: ISSN 0004-6264
Publisher:
Oxford University Press
Country of Publication:
Japan
Language:
English

Citation Formats

Shimakawa, Rhythm, Tanaka, Takumi S., Toshikage, Seiji, and Tanaka, Masayuki. Subaru Hyper Suprime-Cam revisits the large-scale environmental dependence on galaxy morphology over 360 deg2 at z = 0.3–0.6. Japan: N. p., 2021. Web. doi:10.1093/pasj/psab097.
Shimakawa, Rhythm, Tanaka, Takumi S., Toshikage, Seiji, & Tanaka, Masayuki. Subaru Hyper Suprime-Cam revisits the large-scale environmental dependence on galaxy morphology over 360 deg2 at z = 0.3–0.6. Japan. https://doi.org/10.1093/pasj/psab097
Shimakawa, Rhythm, Tanaka, Takumi S., Toshikage, Seiji, and Tanaka, Masayuki. Wed . "Subaru Hyper Suprime-Cam revisits the large-scale environmental dependence on galaxy morphology over 360 deg2 at z = 0.3–0.6". Japan. https://doi.org/10.1093/pasj/psab097.
@article{osti_1826839,
title = {Subaru Hyper Suprime-Cam revisits the large-scale environmental dependence on galaxy morphology over 360 deg2 at z = 0.3–0.6},
author = {Shimakawa, Rhythm and Tanaka, Takumi S. and Toshikage, Seiji and Tanaka, Masayuki},
abstractNote = {Abstract This study investigates the role of large-scale environments on the fraction of spiral galaxies at z = 0.3–0.6 sliced to three redshift bins of Δz = 0.1. Here, we sample 276220 massive galaxies in a limited stellar mass of 5 × 1010 solar mass (∼M*) over 360 deg2, as obtained from the Second Public Data Release of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). By combining projected two-dimensional density information (Shimakawa et al. 2021, MNRAS, 503, 3896) and the CAMIRA cluster catalog (Oguri et al. 2018, PASJ, 70, S20), we investigate the spiral fraction across large-scale overdensities and in the vicinity of red sequence clusters. We adopt transfer learning to reduce the cost of labeling spiral galaxies significantly and then perform stacking analysis across the entire field to overcome the limitations of sample size. Here we employ a morphological classification catalog by the Galaxy Zoo Hubble (Willett et al., 2017, MNRAS, 464, 4176) to train the deep learning model. Based on 74103 sources classified as spirals, we find moderate morphology–density relations on a 10 comoving Mpc scale, thanks to the wide-field coverage of HSC-SSP. Clear deficits of spiral galaxies have also been confirmed, in and around 1136 red sequence clusters. Furthermore, we verify whether there is a large-scale environmental dependence on rest-frame u − r colors of spiral galaxies; such a tendency was not observed in our sample.},
doi = {10.1093/pasj/psab097},
journal = {Publications of the Astronomical Society of Japan},
number = 6,
volume = 73,
place = {Japan},
year = {Wed Oct 20 00:00:00 EDT 2021},
month = {Wed Oct 20 00:00:00 EDT 2021}
}

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  • Dressler, Alan; Oemler, Jr., Augustus; Couch, Warrick J.
  • The Astrophysical Journal, Vol. 490, Issue 2
  • DOI: 10.1086/304890

How do galaxies get their gas?
journal, October 2005


Environments of galaxies in groups within the supercluster-void network
journal, September 2012


The fate of disc galaxies in IllustrisTNG clusters
journal, June 2020

  • Joshi, Gandhali D.; Pillepich, Annalisa; Nelson, Dylan
  • Monthly Notices of the Royal Astronomical Society, Vol. 496, Issue 3
  • DOI: 10.1093/mnras/staa1668

The GOGREEN survey: the environmental dependence of the star-forming galaxy main sequence at 1.0 < z < 1.5
journal, March 2020

  • Old, Lyndsay J.; Balogh, Michael L.; van der Burg, Remco F. J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 493, Issue 4
  • DOI: 10.1093/mnras/staa579

Astropy: A community Python package for astronomy
journal, September 2013


THE zCOSMOS 10k-BRIGHT SPECTROSCOPIC SAMPLE
journal, September 2009

  • Lilly, Simon J.; Le Brun, Vincent; Maier, Christian
  • The Astrophysical Journal Supplement Series, Vol. 184, Issue 2
  • DOI: 10.1088/0067-0049/184/2/218

Rotation-invariant convolutional neural networks for galaxy morphology prediction
journal, April 2015

  • Dieleman, Sander; Willett, Kyle W.; Dambre, Joni
  • Monthly Notices of the Royal Astronomical Society, Vol. 450, Issue 2
  • DOI: 10.1093/mnras/stv632

The Prism Multi-Object Survey (Primus). ii. data Reduction and Redshift Fitting
journal, April 2013


A Wide‐Field Survey of Two z ∼ 0.5 Galaxy Clusters: Identifying the Physical Processes Responsible for the Observed Transformation of Spirals into S0s
journal, December 2007

  • Moran, Sean M.; Ellis, Richard S.; Treu, Tommaso
  • The Astrophysical Journal, Vol. 671, Issue 2
  • DOI: 10.1086/522303

THE 10k zCOSMOS: MORPHOLOGICAL TRANSFORMATION OF GALAXIES IN THE GROUP ENVIRONMENT SINCE z ∼1
journal, June 2010


The COSMOS Survey: Hubble Space Telescope Advanced Camera for Surveys Observations and Data Processing
journal, September 2007

  • Koekemoer, A. M.; Aussel, H.; Calzetti, D.
  • The Astrophysical Journal Supplement Series, Vol. 172, Issue 1
  • DOI: 10.1086/520086

Integrated Colors of Bright Galaxies in the u, b, V System.
journal, November 1960

  • de Vaucouleurs, Gerard
  • The Astrophysical Journal Supplement Series, Vol. 5
  • DOI: 10.1086/190056

EVOLUTION OF THE COLOR-MAGNITUDE RELATION IN GALAXY CLUSTERS AT z ∼ 1 FROM THE ACS INTERMEDIATE REDSHIFT CLUSTER SURVEY
journal, December 2008


Galaxy Morphology Network: A Convolutional Neural Network Used to Study Morphology and Quenching in ∼100,000 SDSS and ∼20,000 CANDELS Galaxies
journal, June 2020

  • Ghosh, Aritra; Urry, C. Megan; Wang, Zhengdong
  • The Astrophysical Journal, Vol. 895, Issue 2
  • DOI: 10.3847/1538-4357/ab8a47

Array programming with NumPy
journal, September 2020

  • Harris, Charles R.; Millman, K. Jarrod; van der Walt, Stéfan J.
  • Nature, Vol. 585, Issue 7825
  • DOI: 10.1038/s41586-020-2649-2

Galaxy And Mass Assembly (GAMA): trends in galaxy colours, morphology, and stellar populations with large-scale structure, group, and pair environments
journal, June 2015

  • Alpaslan, Mehmet; Driver, Simon; Robotham, Aaron S. G.
  • Monthly Notices of the Royal Astronomical Society, Vol. 451, Issue 3
  • DOI: 10.1093/mnras/stv1176

Galaxy evolution in groups and clusters: satellite star formation histories and quenching time-scales in a hierarchical Universe
journal, April 2013

  • Wetzel, Andrew R.; Tinker, Jeremy L.; Conroy, Charlie
  • Monthly Notices of the Royal Astronomical Society, Vol. 432, Issue 1
  • DOI: 10.1093/mnras/stt469

A Computer-Generated Visual Morphology Catalog of ∼3,000,000 sdss Galaxies
journal, April 2016


EDisCS – the ESO distant cluster survey: Sample definition and optical photometry
journal, November 2005


The origin of dwarf galaxies, cold dark matter, and biased galaxy formation
journal, April 1986

  • Dekel, A.; Silk, J.
  • The Astrophysical Journal, Vol. 303
  • DOI: 10.1086/164050

The zCOSMOS redshift survey: the role of environment and stellar mass in shaping the rise of the morphology-density relation from z  ~ 1
journal, June 2009


Evolution since z = 1 of the Morphology‐Density Relation for Galaxies
journal, February 2005

  • Smith, Graham P.; Treu, Tommaso; Ellis, Richard S.
  • The Astrophysical Journal, Vol. 620, Issue 1
  • DOI: 10.1086/426930

"Tuning Fork" Classification of Rich Clusters of Galaxies
journal, February 1971

  • Rood, Herbert J.; Sastry, Gummuluru N.
  • Publications of the Astronomical Society of the Pacific, Vol. 83
  • DOI: 10.1086/129128

The Second Data Release of the Sloan Digital Sky Survey
journal, July 2004

  • Abazajian, Kevork; Adelman-McCarthy, Jennifer K.; Agüeros, Marcel A.
  • The Astronomical Journal, Vol. 128, Issue 1
  • DOI: 10.1086/421365

Transformation from spirals into S0s with bulge growth in groups of galaxies: Formation of S0 galaxies
journal, June 2011


Physical Models of Galaxy Formation in a Cosmological Framework
journal, August 2015


4MOST: 4-metre multi-object spectroscopic telescope
conference, October 2012

  • de Jong, Roelof S.; Bellido-Tirado, Olga; Chiappini, Cristina
  • SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.926239

amico galaxy clusters in KiDS-DR3: sample properties and selection function
journal, January 2019

  • Maturi, Matteo; Bellagamba, Fabio; Radovich, Mario
  • Monthly Notices of the Royal Astronomical Society, Vol. 485, Issue 1
  • DOI: 10.1093/mnras/stz294

Transfer learning for galaxy morphology from one survey to another
journal, December 2018

  • Domínguez Sánchez, H.; Huertas-Company, M.; Bernardi, M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 1
  • DOI: 10.1093/mnras/sty3497