Numerical Astrophysics: Galaxy Formation and Evolution

    General
    Description

    How galaxies formed and evolved through cosmic time is one of the key questions of modern astronomy and astrophysics. Cosmological time- and length-scales are so large that the evolution of individual galaxies cannot be directly observed. Only through numerical simulations can one follow the emergence of cosmic structures within the current cosmological paradigm.

    The main physical processes in galaxy formation and evolution are gravity, hydrodynamics, gas cooling, star formation, stellar evolution, supernova (SN) and black hole (BH) feedback. These are highly non-linear, thus difficult to describe with analytic models. Moreover, the presence of baryonic matter induces biases that collisionless (“dark matter”) simulations alone cannot reproduce (e.g. van Daalen et al. 2014, MNRAS, 440, 2997; Velliscig et al. 2014, MNRAS, 442, 2641). Semi-analytic models based on these simulations require ad hoc corrections to account for these biases. Hydrodynamic, cosmological simulations are therefore the preferred tool for conducting “controlled experiments” of galaxy formation and evolution.

    After three decades of advances in numerical simulations, theorists have only recently been able to reproduce simultaneously the observed properties of the present day galaxy population and the inter-galactic medium (e.g. EAGLE, Schaye et al. 2015, MNRAS, 446, 521; ILLUSTRIS, Vogelsberger et al., 2014, Nature, 509, 177). In particular, the luminosity and mass function of galaxies, the galaxy size- and metallicity-mass relations, and many other properties are now reproduced over a large range of galaxy stellar masses.

    The group of numerical astrophysics work on a variety of scientific topics related to the evolution of galaxies and the large-scale structure of the universe. The expertise ranges from the internal structure of dwarf and low surface brightness galaxies, the Milky Way and its satellite galaxies, the study of galaxies in groups and clusters, to large, cosmological simulations of the structure of the universe. The group collaborates with most of the IAC research groups working on extragalactic astrophysics and cosmology.

    Principal investigator
    Co Principal investigator

    EDGE/C-EAGLE With the completion of the main sample of simulations, the post-processing phase has been started. Dalla Vecchia developed an analysis program to compute luminosities of SSPs and magnitudes of galaxies of ~30 resimulated clusters. The code makes use of the stellar spectra library EMILES, developed at the IAC and recently extended to cover a larger wavelength range. EUCLID Within the EUCLID collaboration, a total of 300 cosmological, N-body simulations of a volume representative of the observed universe were performed. The same sample of initial conditions was evolved with different techniques by other members of the collaboration. The comparison of the different techniques will allow to assess their accuracy in the estimation of the covariance matrix, thus the errors in the measurements from large-scale structure surveys. GALAXY INTERACTIONS IN CLUSTERS For several decades, it has been known that stellar bars in disc galaxies can be triggered by interactions, or by internal processes such as dynamical instabilities. Martínez-Valpuesta et al. (2017) explore the differences between these two mechanisms using numerical simulations. They used two groups of simulations based on isolated galaxies, one group in which a bar develops naturally, and another group in which the bar could not develop in isolation. The rest of the simulations recreate 1:1 coplanar fly-by interactions computed with the impulse approximation. Compared with equivalent isolated galaxies, they find that bars affected or triggered by interactions: (i) remain in the slow regime for longer, (ii) are boxier in face-on views and (iii) they host kinematically hotter discs. Within this set of simulations, strong differences between retrograde or prograde fly-bys are not seen. They also show that slow interactions can trigger bar formation.

    Related publications

    Signatures of the Galactic bar in high-order moments of proper motions measured by Gaia 2020A&A...634A..90P
    One simulation to have them all: performance of the Bias Assignment Method against N-body simulations 2020MNRAS.491.2565B
    The Pristine survey - VI. The first three years of medium-resolution follow-up spectroscopy of Pristine EMP star candidates 2019MNRAS.490.2241A
    Machine learning in APOGEE. Identification of stellar populations through chemical abundances 2019A&A...629A..34G
    Formation of ultra-diffuse galaxies in the field and in galaxy groups 2019MNRAS.487.5272J
    Conditions for Reionizing the Universe with a Low Galaxy Ionizing Photon Escape Fraction 2019ApJ...879...36F
    A distance of 13 Mpc resolves the claimed anomalies of the galaxy lacking dark matter 2019MNRAS.486.1192T
    NIHAO XXI: the emergence of low surface brightness galaxies 2019MNRAS.486.2535D
    The signal of decaying dark matter with hydrodynamical simulations 2019MNRAS.485.4071L
    Disruption of satellite galaxies in simulated groups and clusters: the roles of accretion time, baryons, and pre-processing 2019MNRAS.485.2287B
    Comparing approximate methods for mock catalogues and covariance matrices II: power spectrum multipoles 2019MNRAS.485.2806B
    Dark matter response to galaxy assembly history 2019A&A...622A.197A
    Galaxies with monstrous black holes in galaxy cluster environments 2019MNRAS.485..396V
    Comparing approximate methods for mock catalogues and covariance matrices - I. Correlation function 2019MNRAS.482.1786L
    The Cluster-EAGLE project: a comparison of dynamical mass estimators using simulated clusters 2019MNRAS.482.3308A
    Comparing approximate methods for mock catalogues and covariance matrices - III: bispectrum 2019MNRAS.482.4883C
    A case study of hurdle and generalized additive models in astronomy: the escape of ionizing radiation 2019MNRAS.483.3307H
    Gaia DR2 proper motions of dwarf galaxies within 420 kpc. Orbits, Milky Way mass, tidal influences, planar alignments, and group infall 2018A&A...619A.103F
    Stellar feedback and the energy budget of late-type Galaxies: missing baryons and core creation 2018MNRAS.480.4287K
    CLUES about M33: the reversed radial stellar age gradient in the outskirts of Triangulum galaxy 2018MNRAS.480.4455M
    On the early evolution of Local Group dwarf galaxy types: star formation and supernova feedback 2018MNRAS.479.1514B
    Spectroscopic characterization of the stellar content of ultra-diffuse galaxies 2018MNRAS.478.2034R
    Signatures of the Galactic bar on stellar kinematics unveiled by APOGEE 2018MNRAS.478.1231P
    The Origin of the Relation between Metallicity and Size in Star-forming Galaxies 2018ApJ...859..109S
    Active Galactic Nuclei Feedback and the Origin and Fate of the Hot Gas in Early-type Galaxies 2018ApJ...856..115P
    The VANDELS survey: dust attenuation in star-forming galaxies at z = 3-4 2018MNRAS.476.3218C
    The diverse density profiles of galaxy clusters with self-interacting dark matter plus baryons 2018MNRAS.476L..20R
    NIHAO - XIV. Reproducing the observed diversity of dwarf galaxy rotation curve shapes in ΛCDM 2018MNRAS.473.4392S
    The Cluster-EAGLE project: velocity bias and the velocity dispersion-mass relation of cluster galaxies 2018MNRAS.474.3746A
    Galactic wind X-ray heating of the intergalactic medium during the Epoch of Reionization 2017MNRAS.471.3632M
    Growth of First Galaxies: Impacts of Star Formation and Stellar Feedback 2017ApJ...846...30Y
    The Radial Distribution of Mono-metallicity Populations in the Galactic Disk as Evidence for Two-phase Disk Formation 2017ApJ...846...72D
    The First Billion Years project: constraining the dust attenuation law of star-forming galaxies at z ≃ 5 2017MNRAS.470.3006C
    The Hydrangea simulations: galaxy formation in and around massive clusters 2017MNRAS.470.4186B
    The Cluster-EAGLE project: global properties of simulated clusters with resolved galaxies 2017MNRAS.471.1088B
    Diversity of dwarf galaxy IR-submm emission patterns: CLUES from hydrodynamical simulations 2017A&A...603A...4S
    Barred galaxies in the EAGLE cosmological hydrodynamical simulation 2017MNRAS.469.1054A
    Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe 2017AJ....154...28B
    Deep spectroscopy in nearby galaxy clusters - III. Orbital structure of galaxies in Abell 85 2017MNRAS.468..364A
    The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Cosmological implications of the Fourier space wedges of the final sample 2017MNRAS.467.2085G

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