Bibcode
Balcells, M.; Frigo, M.
Bibliographical reference
Monthly Notices of the Royal Astronomical Society, Volume 469, Issue 2, p.2184-2201
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8
2017
Citations
7
Refereed citations
7
Description
We study whether dry merger-driven size growth of massive elliptical
galaxies depends on their initial structural concentration, and analyse
the validity of the homology hypothesis for virial mass determination in
massive ellipticals grown by dry mergers. High-resolution simulations of
a few realistic merger trees, starting with compact progenitors of
different structural concentrations (Sérsic indices n), show that
galaxy growth has little dependence on the initial Sérsic index
(larger n leads to slightly larger size growth), and depends more on
other particulars of the merger history. We show that the deposition of
accreted matter in the outer parts leads to a systematic and predictable
breaking of the homology between remnants and progenitors, which we
characterize through the evolution, during the course of the merger
history, of virial coefficients K≡ G M / R_e σ _e^2
associated with the most commonly used dynamical and stellar mass
parameters. The virial coefficient for the luminous mass,
K⋆, is ∼50 per cent larger at the start of the
merger evolution at z ≈ 2 than in z = 0 remnants. Ignoring virial
evolution leads to biased virial mass estimates. We provide K
corresponding to a variety of dynamical and stellar mass parameters, and
provide recipes for the dynamical determination of galaxy masses. For
massive, non-compact ellipticals, the popular expression M = 5 R_e
σ _e^2 / G underestimates the dynamical mass within the luminous
body by factors of up to 4; it instead provides an approximation to the
total stellar mass with smaller uncertainty than current
stellar-population models.
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