2019
DOI: 10.1093/mnras/stz3495
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Forming early-type galaxies without AGN feedback: a combination of merger-driven outflows and inefficient star formation

Abstract: Regulating the available gas mass inside galaxies proceeds through a delicate balance between inflows and outflows, but also through the internal depletion of gas due to star formation. At the same time, stellar feedback is the internal engine that powers the strong outflows. Since star formation and stellar feedback are both small scale phenomena, we need a realistic and predictive subgrid model for both. We describe the implementation of supernova momentum feedback and star formation based on the turbulence … Show more

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Cited by 43 publications
(37 citation statements)
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“…Numerically, our results are in agreement with (but considerably extend) previous simulations of similar systems (e.g. Martig et al 2013;Semenov et al 2016;Su et al 2019;Kretschmer & Teyssier 2020). Like ours, these simulations predict that gas dynamics influence star formation only in sufficiently gas-poor galaxies.…”
Section: Implications For Galaxy Evolution and Quenchingsupporting
confidence: 92%
“…Numerically, our results are in agreement with (but considerably extend) previous simulations of similar systems (e.g. Martig et al 2013;Semenov et al 2016;Su et al 2019;Kretschmer & Teyssier 2020). Like ours, these simulations predict that gas dynamics influence star formation only in sufficiently gas-poor galaxies.…”
Section: Implications For Galaxy Evolution and Quenchingsupporting
confidence: 92%
“…This is called "subgrid turbulent velocities", which is not taken into account in our simulation or in the previous computation of the turbulent velocity based on neighboring cells. Some other Ramses simulations quantify those subgrid motions on-the-fly (e.g., Agertz et al 2015;Kretschmer & Teyssier 2020). In this work we assume a uniform turbulence in every cell of the simulation, accounting for those two kinds of turbulence.…”
Section: Radiative Transfer Of the Linesmentioning
confidence: 99%
“…Traditionally, ǫ ff is chosen to be a constant, close to 1 per cent, and star formation is allowed only in gas cells above a prescribed density threshold and below a prescribed temperature threshold. This is motivated by observations of inefficient star formation on galactic kpc scales (Bigiel et al 2008) as well as in Milky Way giant molecular clouds (GMCs) (Krumholz & Tan 2007) In this paper, we use a novel approach for which ǫ ff depends on the turbulent state of the gas following the so-called multifree-fall approach (Federrath & Klessen 2012;Semenov, Kravtsov & Gnedin 2016;Kretschmer & Teyssier 2020). Indeed, in a turbulent medium, like the interstellar medium (ISM), the gas density distribution is well described by a lognormal probability distribution function (PDF):…”
Section: Galaxy Formation Physicsmentioning
confidence: 99%
“…is the local virial number which can be interpreted as an estimator for the local stability, x is the cell size and σ is the turbulent 1D velocity dispersion which is computed by the subgrid scale (SGS) turbulent energy model (see Schmidt, Niemeyer & Hillebrandt 2006;Semenov et al 2016;Kretschmer & Teyssier 2020, for more details). As a consequence, the efficiency is not a constant anymore but a function of the state of the gas in a computational cell which is characterized through the local virial parameter α vir and the turbulent Mach number M. This model therefore has two star formation channels, either α vir < 1 where the whole cell is collapsing under gravity or if M is large, such that large density fluctuations caused by supersonic turbulence occur.…”
Section: Galaxy Formation Physicsmentioning
confidence: 99%
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