NAOC Open IR
Disentangling the formation history of galaxies via population-orbit superposition: method validation
Zhu, Ling1; van de Ven, Glenn2; Leaman, Ryan3; Grand, Robert J. J.4; Falcon-Barroso, Jesus5,6; Jethwa, Prashin2; Watkins, Laura L.7; Mao, Shude8,9; Poci, Adriano10,11; McDermid, Richard M.10; Nelson, Dylan4
2020-08-01
Source PublicationMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
ISSN0035-8711
Volume496Issue:2Pages:1579-1597
AbstractWe present population-orbit superposition models for external galaxies based on Schwarzschild's orbit-superposition method, by tagging the orbits with age and metallicity. The models fit the density distributions, kinematic, and age and metallicity maps from integral field unit (IFU) spectroscopy observations. We validate the method and demonstrate its power by applying it to mock data, similar to those obtained by the Multi-Unit Spectroscopic Explorer (MUSE) IFU on the Very Large Telescope (VLT). These mock data are created from Auriga galaxy simulations, viewed at three different inclination angles (theta = 40 degrees, 60 degrees, 80 degrees). Constrained by MUSE-like mock data, our model can recover the galaxy's stellar orbit distribution projected in orbital circularity lambda(z) versus radius r, the intrinsic stellar population distribution in age t versus metallicity Z, and the correlation between orbits' circularity lambda(z) and stellar age t. A physically motivated age-metallicity relation improves the recovering of intrinsic stellar population distributions. We decompose galaxies into cold, warm, and hot+counter-rotating components based on their orbit circularity distribution, and find that the surface density, velocity, velocity dispersion, and age and metallicity maps of each component from our models well reproduce those from simulation, especially for projections close to edge-on. These galaxies exhibit strong global age versus sigma(z) relation, which is well recovered by our model. The method has the power to reveal the detailed build-up of stellar structures in galaxies, and offers a complement to local resolved, and high-redshift studies of galaxy evolution.
Keywordmethods:numerical galaxies: formation galaxies: kinematics and dynamics galaxies: structure
Funding OrganizationNational Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship
DOI10.1093/mnras/staa1584
WOS KeywordVELOCITY DISPERSION-RELATIONS ; MULTI-GAUSSIAN EXPANSION ; MASSIVE BLACK-HOLE ; MILKY-WAY ; DISC GALAXIES ; MODELS ; PROFILES ; SIMULATIONS ; ACCRETION ; PROJECT
Language英语
Funding ProjectNational Key Research and Development Program of China[2018YFA0404501] ; National Natural Science Foundation of China[Y945271001] ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme[724857] ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU)[AYA2016-77237-C3-1-P] ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship[FT150100333]
Funding OrganizationNational Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; RAVET project from the Spanish Ministry of Science, Innovation and Universities (MCIU) ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; IAC project TRACES through the Consejeria de Economia, Industria, Comercio y Conocimiento of the Canary Islands Autonomous Community ; Australian Research Council Future Fellowship ; Australian Research Council Future Fellowship
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000561118000041
PublisherOXFORD UNIV PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/82250
Collection中国科学院国家天文台
Corresponding AuthorZhu, Ling
Affiliation1.Chinese Acad Sci, Shanghai Astron Observ, 80 Nandan Rd, Shanghai 200030, Peoples R China
2.Univ Vienna, Dept Astrophys, Turkenschanzstr 17, A-1180 Vienna, Austria
3.Max Planck Inst Astron, Konigstuhl 17, D-69117 Heidelberg, Germany
4.Max Planck Inst Astrophys, Karl Schwarzschild Str 1, D-85748 Garching, Germany
5.Inst Astrofis Canarias, C Via Lactea S-N, E-38205 Tenerife, Spain
6.Univ La Laguna, Dept Astrofis, E-38200 Tenerife, Spain
7.Space Telescope Sci Inst, AURA ESA, 3700 San Martin Dr, Baltimore, MD 21218 USA
8.Tsinghua Univ, Phys Dept, Beijing 100084, Peoples R China
9.Tsinghua Univ, Tsinghua Ctr Astrophys, Beijing 100084, Peoples R China
10.Macquarie Univ, Dept Phys & Astron, Astron Astrophys & Astrophoton Res Ctr, Sydney, NSW 2109, Australia
11.European Southern Observ, Karl Schwarzschild Str 2, D-85748 Garching, Germany
Recommended Citation
GB/T 7714
Zhu, Ling,van de Ven, Glenn,Leaman, Ryan,et al. Disentangling the formation history of galaxies via population-orbit superposition: method validation[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2020,496(2):1579-1597.
APA Zhu, Ling.,van de Ven, Glenn.,Leaman, Ryan.,Grand, Robert J. J..,Falcon-Barroso, Jesus.,...&Nelson, Dylan.(2020).Disentangling the formation history of galaxies via population-orbit superposition: method validation.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,496(2),1579-1597.
MLA Zhu, Ling,et al."Disentangling the formation history of galaxies via population-orbit superposition: method validation".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 496.2(2020):1579-1597.
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