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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
SDSS-IV MaNGA: Faint quenched galaxies - I. Sample selection and evidence for environmental quenching
Monthly Notices of the Royal Astronomical Society, Volume 462, No. 4, Year 2016
Notification
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Description
Using kinematic maps from the Sloan Digital Sky Survey (SDSS) Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, we reveal that the majority of low-mass quenched galaxies exhibit coherent rotation in their stellar kinematics. Our sample includes all 39 quenched low-mass galaxies observed in the first year of MaNGA. The galaxies are selected with Mr > -19.1, stellar masses 109 M⊙ < M* < 5 × 109 M⊙, EWHα < 2 Å, and all have red colours (u - r) > 1.9. They lie on the size-magnitude and σ-luminosity relations for previously studied dwarf galaxies. Just six (15 ± 5.7 per cent) are found to have rotation speeds ve, rot < 15 km s-1 at ~1 Re, and may be dominated by pressure support at all radii. Two galaxies in our sample have kinematically distinct cores in their stellar component, likely the result of accretion. Six contain ionized gas despite not hosting ongoing star formation, and this gas is typically kinematically misaligned from their stellar component. This is the first large-scale Integral Field Unit (IFU) study of low-mass galaxies selected without bias against low-density environments. Nevertheless, we find the majority of these galaxies are within ~1.5 Mpc of a bright neighbour (MK < -23; or M* > 5 × 1010 M⊙), supporting the hypothesis that galaxy-galaxy or galaxy-group interactions quench star formation in low-mass galaxies. The local bright galaxy density for our sample is ρproj = 8.2 ± 2.0 Mpc-2, compared to ρproj = 2.1 ± 0.4 Mpc-2 for a star-forming comparison sample, confirming that the quenched low-mass galaxies are preferentially found in higher density environments. © 2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society.
Authors & Co-Authors
Penny, Samantha J.
United Kingdom, Portsmouth
University of Portsmouth
Masters, Karen L.
United Kingdom, Portsmouth
University of Portsmouth
Weijmans, Anne Marie
United Kingdom, St Andrews
University of st Andrews
Westfall, Kyle B.
United Kingdom, Portsmouth
University of Portsmouth
Bershady, Matthew A.
United States, Madison
University of Wisconsin-madison
Bundy, Kevin A.
Japan, Tokyo
The University of Tokyo
Drory, Niv
United States, Austin
The University of Texas at Austin
Falćon-Barroso, Jésus
Spain, San Cristobal de la Laguna
Instituto Astrofisico de Canarias
Spain, San Cristobal de la Laguna
Universidad de la Laguna
Law, David R.
United States, Baltimore
Space Telescope Science Institute
Nichol, Robert C.
United Kingdom, Portsmouth
University of Portsmouth
Thomas, Daniel B.
United Kingdom, Portsmouth
University of Portsmouth
Bizyaev, Dmitry Anatolevich
United States, Las Cruces
New Mexico State University
Russian Federation, Moscow
Lomonosov Moscow State University
Brownstein, Joel R.
United States, Salt Lake City
The University of Utah
Freischlad, Gordon
United States, Las Cruces
New Mexico State University
Gaulme, Patrick
United States, Las Cruces
New Mexico State University
Grabowski, Kathleen
United States, Las Cruces
New Mexico State University
Kinemuchi, Karen
United States, Las Cruces
New Mexico State University
Malanushenko, Elena
United States, Las Cruces
New Mexico State University
Malanushenko, Viktor P.
United States, Las Cruces
New Mexico State University
Oravetz, Daniel J.
United States, Las Cruces
New Mexico State University
Roman-Lopes, Alexandre
Chile, La Serena
Universidad de la Serena
Pan, Kaike
United States, Las Cruces
New Mexico State University
Simmons, Audrey E.
United States, Las Cruces
New Mexico State University
Wake, David A.
United States, Madison
University of Wisconsin-madison
United Kingdom, Milton Keynes
The Open University
Statistics
Citations: 27
Authors: 24
Affiliations: 13
Identifiers
Doi:
10.1093/mnras/stw1913
ISSN:
00358711
Study Design
Cross Sectional Study
Study Approach
Quantitative