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Related papers: Dark Sage: Next-generation semi-analytic galaxy ev…

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We present an Analytic Model of Intergalactic-medium and GAlaxy evolution since the dark ages. AMIGA is in the spirit of the popular semi-analytic models of galaxy formation, although it does not use halo merger trees but interpolates halo…

We study the formation and evolution of dark galaxies using the IllustrisTNG cosmological hydrodynamical simulation. We first identify dark galaxies with stellar-to-total mass ratios, $M_* / M_{\text{tot}}$, smaller than $10^{-4}$, which…

Astrophysics of Galaxies · Physics 2024-01-17 Gain Lee , Ho Seong Hwang , Jaehyun Lee , Jihye Shin , Hyunmi Song

We present STARFORGE (STAR FORmation in Gaseous Environments): a new numerical framework for 3D radiation MHD simulations of star formation that simultaneously follow the formation, accretion, evolution, and dynamics of individual stars in…

Instrumentation and Methods for Astrophysics · Physics 2024-02-29 Michael Y. Grudić , Dávid Guszejnov , Philip F. Hopkins , Stella S. R. Offner , Claude-André Faucher-Giguère

We use comparisons between the SAMI Galaxy Survey and equilibrium galaxy models to infer the importance of disc fading in the transition of spirals into lenticular (S0) galaxies. The local S0 population has both higher photometric…

New simulations are presented which investigate the formation of smaller groups of galaxies in a CDM like universe. The simulations follow the evolution of dark matter and gas and are performed with an SPH code adapted for the…

Astrophysics · Physics 2016-08-30 Matthias Steinmetz

We present a new cosmological, magnetohydrodynamical simulation for galaxy formation: TNG50, the third and final installment of the IllustrisTNG project. TNG50 evolves 2x2160^3 dark-matter particles and gas cells in a volume 50 comoving Mpc…

We aim at addressing the questions related to galaxy mass assembly through major and minor wet merging processes in the redshift range 1<z<2. A consequent fraction of Milky Way like galaxies are thought to have undergone an unstable clumpy…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-16 V. Perret , F. Renaud , B. Epinat , P. Amram , F. Bournaud , T. Contini , R. Teyssier , J. -C. Lambert

We introduce a neural approach to dynamical modeling of galaxies that replaces traditional imaging-based deprojections with a differentiable mapping. Specifically, we train a neural network to translate Nuker profile parameters into…

We present single-S\'ersic two-dimensional model fits to 167,600 galaxies modelled independently in the ugrizYJHK bandpasses using reprocessed Sloan Digital Sky Survey Data Release Seven (SDSS DR7) and UKIRT Infrared Deep Sky Survey Large…

We study the degree to which non-radiative gas dynamics affects the merger histories of haloes along with subsequent predictions from a semi-analytic model (SAM) of galaxy formation. To this aim, we use a sample of dark matter only and…

Astrophysics · Physics 2009-11-13 A. Saro , G. De Lucia , K. Dolag , S. Borgani

The formation of galaxies can be understood in terms of the assembly patterns of each type of galactic component. To perform this kind of analysis, is necessary to define some criteria to separate those components. Decomposition methods…

We introduce an updated physical model to simulate the formation and evolution of galaxies in cosmological, large-scale gravity+magnetohydrodynamical simulations with the moving mesh code AREPO. The overall framework builds upon the…

[Abridged] [...] We study the mass and spin evolution of massive black holes within a semianalytical galaxy-formation model that follows the evolution of dark-matter halos along merger trees, as well as that of the baryonic components (hot…

Cosmology and Nongalactic Astrophysics · Physics 2014-04-17 Enrico Barausse

In this Letter, we analyse the predicted physical properties of massive galaxies, in the framework of recent semi-analytic models of galaxy formation. All models considered account for winds driven by supernovae explosions and suppression…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-05 Gabriella De Lucia , Stefano Borgani

It is now possible for hydrodynamical simulations to reproduce a representative galaxy population. Accordingly, it is timely to assess critically some of the assumptions of traditional semi-analytic galaxy formation models. We use the Eagle…

A key ingredient for semi-analytic models (SAMs) of galaxy formation is the mass assembly history of haloes, encoded in a tree structure. The most commonly used method to construct halo merger histories is based on the outcomes of…

Astrophysics of Galaxies · Physics 2022-06-28 Sandra Robles , Jonathan S. Gómez , Adín Ramírez Rivera , Nelson D. Padilla , Diego Dujovne

The standard Lambda cold dark matter ($\Lambda$CDM) paradigm of the physical Universe suffers from well-known conceptual problems and is challenged by observational data. Alternative models exist in the literature, both phenomenological and…

Cosmology and Nongalactic Astrophysics · Physics 2026-05-13 D. Castelão , I. Tereno

Traditional spectral energy distribution (SED) fitting codes used to derive galaxy physical properties are often uncertain at the factor of a few level owing to uncertainties in galaxy star formation histories and dust attenuation curves.…

Astrophysics of Galaxies · Physics 2021-08-04 Sankalp Gilda , Sidney Lower , Desika Narayanan

Any realistic theory of galaxy formation must be set in the context of a model for the formation of structure in the universe. We describe a powerful approach -- semi-analytic modelling -- that combines a set of simple rules describing the…

Astrophysics · Physics 2007-05-23 C. M. Baugh , S. Cole , C. S. Frenk , A. J. Benson , C. G. Lacey

The latest observations of molecular gas and the atomic hydrogen content of local and high-redshift galaxies, coupled with how these correlate with star formation activity, have revolutionized our ideas about how to model star formation in…

Cosmology and Nongalactic Astrophysics · Physics 2012-10-19 Claudia del P. Lagos , Cedric G. Lacey , Carlton M. Baugh