Bibcode
Zhu, L.; van den Bosch, Remco; van de Ven, Glenn; Lyubenova, Mariya; Falcón-Barroso, J.; Meidt, Sharon E.; Martig, Marie; Shen, Juntai; Li, Zhao-Yu; Yildirim, Akin; Walcher, C. Jakob; Sanchez, Sebastian F.
Bibliographical reference
Monthly Notices of the Royal Astronomical Society, Volume 473, Issue 3, p.3000-3018
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1
2018
Citations
73
Refereed citations
69
Description
Schwarzschild orbit-based dynamical models are widely used to uncover
the internal dynamics of early-type galaxies and globular clusters. Here
we present for the first time the Schwarzschild models of late-type
galaxies: an SBb galaxy NGC 4210 and an S0 galaxy NGC 6278 from the
Calar Alto Legacy Integral Field Area (CALIFA) survey. The mass profiles
within 2Re are constrained well with 1σ statistical
error of ∼ 10 per cent. The luminous and dark mass can be
disentangled with uncertainties of ∼20 and ∼ 50 per cent,
respectively. From Re to 2Re, the dark matter
fraction increases from 14 ± 10 to 18 ± 10 per cent for
NGC 4210 and from 15 ± 10 to 30 ± 20 per cent for NGC
6278. The velocity anisotropy profiles of both
σr/σt and
σz/σR are well constrained. The
inferred internal orbital distributions reveal clear substructures. The
orbits are naturally separated into three components: a cold component
with near circular orbits; a hot component with near radial orbits and a
warm component in between. The photometrically identified exponential
discs are predominantly made up of cold orbits only beyond
∼1Re, while they are constructed mainly with the warm
orbits inside. Our dynamical hot components are concentrated in the
inner regions, similar to the photometrically identified bulges. The
reliability of the results, especially the orbit distribution, is
verified by applying the model to mock data.
Related projects
Traces of Galaxy Formation: Stellar populations, Dynamics and Morphology
We are a large, diverse, and very active research group aiming to provide a comprehensive picture for the formation of galaxies in the Universe. Rooted in detailed stellar population analysis, we are constantly exploring and developing new tools and ideas to understand how galaxies came to be what we now observe.
Ignacio
Martín Navarro