P-MaNGA: Full spectral fitting and stellar population maps from prototype observations

David M. Wilkinson, Claudia Maraston, Daniel Thomas, Lodovico Coccato, Rita Tojeiro, Michele Cappellari, Francesco Belfiore, Matthew Bershady, Mike Blanton, Kevin Bundy, Sabrina Cales, Brian Cherinka, Niv Drory, Eric Emsellem, Hai Fu, David Law, Cheng Li, Roberto Maiolino, Karen Masters, Christy TremontiDavid Wake, Enci Wang, Anne Marie Weijmans, Ting Xiao, Renbin Yan, Kai Zhang, Dmitry Bizyaev, Jonathan Brinkmann, Karen Kinemuchi, Elena Malanushenko, Viktor Malanushenko, Daniel Oravetz, Kaike Pan, Audrey Simmons

    Research output: Contribution to journalArticle

    Abstract

    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/R<inf>e</inf>) in metallicity, whereas the gradients for late-type galaxies are on average negative in age (-0.39 dex/R<inf>e</inf>) 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.

    Original languageEnglish (US)
    Pages (from-to)328-360
    Number of pages33
    JournalMonthly Notices of the Royal Astronomical Society
    Volume449
    Issue number1
    DOIs
    StatePublished - Feb 23 2015

    Fingerprint

    prototypes
    galaxies
    dust
    data quality
    gradients
    metallicity
    observatory
    extinction
    spectroscopy
    stellar mass
    observatories
    coverings
    attenuation
    profiles
    library
    analysis

    Keywords

    • Galaxies: evolution
    • Galaxies: formation
    • Galaxies: general
    • Galaxies: stellar content
    • Galaxies: structure
    • Techniques: spectroscopic

    ASJC Scopus subject areas

    • Space and Planetary Science
    • Astronomy and Astrophysics

    Cite this

    Wilkinson, D. M., Maraston, C., Thomas, D., Coccato, L., Tojeiro, R., Cappellari, M., ... Simmons, A. (2015). P-MaNGA: Full spectral fitting and stellar population maps from prototype observations. Monthly Notices of the Royal Astronomical Society, 449(1), 328-360. https://doi.org/10.1093/mnras/stv301

    P-MaNGA : Full spectral fitting and stellar population maps from prototype observations. / Wilkinson, David M.; Maraston, Claudia; Thomas, Daniel; Coccato, Lodovico; Tojeiro, Rita; Cappellari, Michele; Belfiore, Francesco; Bershady, Matthew; Blanton, Mike; Bundy, Kevin; Cales, Sabrina; Cherinka, Brian; Drory, Niv; Emsellem, Eric; Fu, Hai; Law, David; Li, Cheng; Maiolino, Roberto; Masters, Karen; Tremonti, Christy; Wake, David; Wang, Enci; Weijmans, Anne Marie; Xiao, Ting; Yan, Renbin; Zhang, Kai; Bizyaev, Dmitry; Brinkmann, Jonathan; Kinemuchi, Karen; Malanushenko, Elena; Malanushenko, Viktor; Oravetz, Daniel; Pan, Kaike; Simmons, Audrey.

    In: Monthly Notices of the Royal Astronomical Society, Vol. 449, No. 1, 23.02.2015, p. 328-360.

    Research output: Contribution to journalArticle

    Wilkinson, DM, Maraston, C, Thomas, D, Coccato, L, Tojeiro, R, Cappellari, M, Belfiore, F, Bershady, M, Blanton, M, Bundy, K, Cales, S, Cherinka, B, Drory, N, Emsellem, E, Fu, H, Law, D, Li, C, Maiolino, R, Masters, K, Tremonti, C, Wake, D, Wang, E, Weijmans, AM, Xiao, T, Yan, R, Zhang, K, Bizyaev, D, Brinkmann, J, Kinemuchi, K, Malanushenko, E, Malanushenko, V, Oravetz, D, Pan, K & Simmons, A 2015, 'P-MaNGA: Full spectral fitting and stellar population maps from prototype observations', Monthly Notices of the Royal Astronomical Society, vol. 449, no. 1, pp. 328-360. https://doi.org/10.1093/mnras/stv301
    Wilkinson, David M. ; Maraston, Claudia ; Thomas, Daniel ; Coccato, Lodovico ; Tojeiro, Rita ; Cappellari, Michele ; Belfiore, Francesco ; Bershady, Matthew ; Blanton, Mike ; Bundy, Kevin ; Cales, Sabrina ; Cherinka, Brian ; Drory, Niv ; Emsellem, Eric ; Fu, Hai ; Law, David ; Li, Cheng ; Maiolino, Roberto ; Masters, Karen ; Tremonti, Christy ; Wake, David ; Wang, Enci ; Weijmans, Anne Marie ; Xiao, Ting ; Yan, Renbin ; Zhang, Kai ; Bizyaev, Dmitry ; Brinkmann, Jonathan ; Kinemuchi, Karen ; Malanushenko, Elena ; Malanushenko, Viktor ; Oravetz, Daniel ; Pan, Kaike ; Simmons, Audrey. / P-MaNGA : Full spectral fitting and stellar population maps from prototype observations. In: Monthly Notices of the Royal Astronomical Society. 2015 ; Vol. 449, No. 1. pp. 328-360.
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    abstract = "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{\AA} 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.",
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    T2 - Full spectral fitting and stellar population maps from prototype observations

    AU - Wilkinson, David M.

    AU - Maraston, Claudia

    AU - Thomas, Daniel

    AU - Coccato, Lodovico

    AU - Tojeiro, Rita

    AU - Cappellari, Michele

    AU - Belfiore, Francesco

    AU - Bershady, Matthew

    AU - Blanton, Mike

    AU - Bundy, Kevin

    AU - Cales, Sabrina

    AU - Cherinka, Brian

    AU - Drory, Niv

    AU - Emsellem, Eric

    AU - Fu, Hai

    AU - Law, David

    AU - Li, Cheng

    AU - Maiolino, Roberto

    AU - Masters, Karen

    AU - Tremonti, Christy

    AU - Wake, David

    AU - Wang, Enci

    AU - Weijmans, Anne Marie

    AU - Xiao, Ting

    AU - Yan, Renbin

    AU - Zhang, Kai

    AU - Bizyaev, Dmitry

    AU - Brinkmann, Jonathan

    AU - Kinemuchi, Karen

    AU - Malanushenko, Elena

    AU - Malanushenko, Viktor

    AU - Oravetz, Daniel

    AU - Pan, Kaike

    AU - Simmons, Audrey

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    N2 - 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.

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    KW - Galaxies: formation

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    KW - Galaxies: stellar content

    KW - Galaxies: structure

    KW - Techniques: spectroscopic

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