Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
P-MaNGA: Full spectral fitting and stellar population maps from prototype observations
Monthly Notices of the Royal Astronomical Society, Volume 449, No. 1, Year 2015
Notification
URL copied to clipboard!
Description
MaNGA (Mapping Nearby Galaxies at Apache Point Observatory) is a 6-yr SDSS-IV (Sloan Digital Sky Survey IV) survey that will obtain resolved spectroscopy from 3600 to 10 300Å for a representative sample of over 10 000 nearby galaxies. In this paper, we derive spatially resolved stellar population properties and radial gradients by performing full spectral fitting of observed galaxy spectra from P-MaNGA, a prototype of the MaNGA instrument. These data include spectra for 18 galaxies, covering a large range of morphological type. We derive age, metallicity, dust, and stellar mass maps, and their radial gradients, using high spectralresolution stellar population models, and assess the impact of varying the stellar library input to themodels. We introduce amethod to determine dust extinction which is able to give smooth stellar mass maps even in cases of high and spatially non-uniform dust attenuation. With the spectral fitting, we produce detailed maps of stellar population properties which allow us to identify galactic features among this diverse sample such as spiral structure, smooth radial profiles with little azimuthal structure in spheroidal galaxies, and spatially distinct galaxy sub-components. In agreement with the literature, we find the gradients for galaxies identified as early type to be on average flat in age, and negative (-0.15 dex/Re) in metallicity, whereas the gradients for late-type galaxies are on average negative in age (-0.39 dex/Re) and flat in metallicity. We demonstrate how different levels of data quality change the precision with which radial gradients can be measured. We show how this analysis, extended to the large numbers of MaNGA galaxies, will have the potential to shed light on galaxy structure and evolution. © 2015 The Authors.
Authors & Co-Authors
Wilkinson, David M.
United Kingdom, Portsmouth
University of Portsmouth
Maraston, Claudia
United Kingdom, Portsmouth
University of Portsmouth
Thomas, Daniel B.
United Kingdom, Portsmouth
University of Portsmouth
Coccato, Lodovico
United Kingdom, Portsmouth
University of Portsmouth
Germany, Garching Bei Munchen
European Southern Observatory
Tojeiro, Rita
United Kingdom, St Andrews
University of st Andrews
Cappellari, Michele
United Kingdom, Oxford
University of Oxford
Belfiore, Francesco M.C.
United Kingdom, Cambridge
University of Cambridge
Bershady, Matthew A.
United States, Madison
University of Wisconsin-madison
Blanton, Michael R.
United States, New York
New York University
Bundy, Kevin A.
Japan, Tokyo
The University of Tokyo
Cales, Sabrina L.
United States, New Haven
Yale University
Cherinka, Brian A.
Canada, Toronto
University of Toronto
Drory, Niv
United States, Austin
The University of Texas at Austin
Emsellem, Éric
Germany, Garching Bei Munchen
European Southern Observatory
France, Saint-genis-laval
Centre de Recherche Astrophysique de Lyon
Fu, Hai
United States, Iowa City
University of Iowa
Law, David R.
United States, Baltimore
Space Telescope Science Institute
Li, Cheng
China, Shanghai
Shanghai Astronomical Observatory Chinese Academy of Sciences
Maiolino, Roberto
United Kingdom, Cambridge
University of Cambridge
Masters, Karen L.
United Kingdom, Portsmouth
University of Portsmouth
Tremonti, Christy A.
United States, Madison
University of Wisconsin-madison
Wake, David A.
United States, Madison
University of Wisconsin-madison
Wang, Enci
China, Shanghai
Shanghai Astronomical Observatory Chinese Academy of Sciences
Weijmans, Anne Marie
United Kingdom, St Andrews
University of st Andrews
Xiao, Ting
China, Shanghai
Shanghai Astronomical Observatory Chinese Academy of Sciences
Yan, Renbin
United States, Lexington
University of Kentucky
Zhang, Kai
China, Shanghai
Shanghai Astronomical Observatory Chinese Academy of Sciences
United States, Lexington
University of Kentucky
Bizyaev, Dmitry Anatolevich
United States, Las Cruces
New Mexico State University
Brinkmann, Jonathan V.
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
Pan, Kaike
United States, Las Cruces
New Mexico State University
Simmons, Audrey E.
United States, Las Cruces
New Mexico State University
Statistics
Citations: 76
Authors: 34
Affiliations: 17
Identifiers
Doi:
10.1093/mnras/stv301
ISSN:
00358711
Study Design
Cross Sectional Study
Study Approach
Quantitative