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

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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, 01.05.2015, p. 328-360.

Research output: Contribution to journalArticle

Harvard

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, A-M, 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

APA

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

Vancouver

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

Author

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.

Bibtex

@article{872d674a22124ba681c211e6319092c8,
title = "P-MaNGA: full spectral fitting and stellar population maps from prototype observations",
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 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/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.",
keywords = "astro-ph.GA, astro-ph.CO, RCUK, STFC, ST/M001156/1",
author = "Wilkinson, {David M.} and Claudia Maraston and Daniel Thomas and Lodovico Coccato and Rita Tojeiro and Michele Cappellari and Francesco Belfiore and Matthew Bershady and Mike Blanton and Kevin Bundy and Sabrina Cales and Brian Cherinka and Niv Drory and Eric Emsellem and Hai Fu and David Law and Cheng Li and Roberto Maiolino and Karen Masters and Christy Tremonti and David Wake and Enci Wang and Anne-Marie Weijmans and Ting Xiao and Renbin Yan and Kai Zhang and Dmitry Bizyaev and Jonathan Brinkmann and Karen Kinemuchi and Elena Malanushenko and Viktor Malanushenko and Daniel Oravetz and Kaike Pan and Audrey Simmons",
note = "This article has been accepted for publication in 'Monthly notices of the Royal Astronomical Society {\circledC}: 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.",
year = "2015",
month = "5",
day = "1",
doi = "10.1093/mnras/stv301",
language = "English",
volume = "449",
pages = "328--360",
journal = "MNRAS",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - P-MaNGA

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

N1 - This article has been accepted for publication in 'Monthly notices of the Royal Astronomical Society ©: 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

PY - 2015/5/1

Y1 - 2015/5/1

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 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/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.

AB - 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 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/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.

KW - astro-ph.GA

KW - astro-ph.CO

KW - RCUK

KW - STFC

KW - ST/M001156/1

U2 - 10.1093/mnras/stv301

DO - 10.1093/mnras/stv301

M3 - Article

VL - 449

SP - 328

EP - 360

JO - MNRAS

JF - MNRAS

SN - 0035-8711

IS - 1

ER -

ID: 2318571