期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 449, 期 1, 页码 328-360出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stv301
关键词
techniques: spectroscopic; galaxies: evolution; galaxies: formation; galaxies: general; galaxies: stellar content; galaxies: structure
资金
- Alfred P. Sloan Foundation
- National Science Foundation
- US Department of Energy Office of Science
- University of Arizona
- Brazilian Participation Group
- Brookhaven National Laboratory
- Carnegie Mellon University
- University of Florida
- French Participation Group
- German Participation Group
- Harvard University
- Instituto de Astrofisica de Canarias
- 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
- Spanish Participation Group
- University of Tokyo
- University of Utah
- Vanderbilt University
- University of Virginia
- University of Washington
- Yale University
- Colorado University, Boulder
- Harvard-Smithsonian Center for Astrophysics Participation Group
- Kavli Institute for the Physics and Mathematics of the Universe Max-Planck-Institut fuer Astrophysik (MPA Garching)
- Max-Planck-Institut fuer Extraterrestrische Physik (MPE)
- Max-Planck-Institut fuer Astronomie (MPIA Heidelberg)
- National Astronomical Observatory of China
- Penn State University
- Shanghai Astronomical Observatory
- United Kingdom Participation Group
- University of Wisconsin
- STFC [ST/M001156/1, ST/H002456/1, ST/K004719/1, ST/K00090X/1, ST/M001172/1] Funding Source: UKRI
- Science and Technology Facilities Council [1363788, ST/M001172/1, ST/K00090X/1, ST/M001156/1] Funding Source: researchfish
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 10 300 angstrom 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 spectral-resolution stellar population models, and assess the impact of varying the stellar library input to the models. We introduce a method 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/R-e) in metallicity, whereas the gradients for late-type galaxies are on average negative in age (-0.39 dex/R-e) 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.
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