Recognition: unknown
Physical Models of Galaxy Formation in a Cosmological Framework
read the original abstract
Modeling galaxy formation in a cosmological context presents one of the greatest challenges in astrophysics today, due to the vast range of scales and numerous physical processes involved. Here we review the current status of models that employ two leading techniques to simulate the physics of galaxy formation: semi-analytic models and numerical hydrodynamic simulations. We focus on a set of observational targets that describe the evolution of the global and structural properties of galaxies from roughly Cosmic High Noon ($z\sim 2-3$) to the present. Although minor discrepancies remain, overall, models show remarkable convergence between different methods and make predictions that are in qualitative agreement with observations. Modelers seem to have converged on a core set of physical processes that are critical for shaping galaxy properties. This core set includes cosmological accretion, strong stellar-driven winds that are more efficient at low masses, black hole feedback that preferentially suppresses star formation at high masses, and structural and morphological evolution through merging and environmental processes. However, all cosmological models currently adopt phenomenological implementations of many of these core processes, which must be tuned to observations. Many details of how these diverse processes interact within a hierarchical structure formation setting remain poorly understood. Emerging multi-scale simulations are helping to bridge the gap between stellar and cosmological scales, placing models on a firmer, more physically grounded footing. Concurrently, upcoming telescope facilities will provide new challenges and constraints for models, particularly by directly constraining inflows and outflows through observations of gas in and around galaxies.
This paper has not been read by Pith yet.
Forward citations
Cited by 19 Pith papers
-
Informative Priors on Primordial Non-Gaussianity Bias $b_{\phi}$ From Galaxy Formation
Conditioning CAMELS-SAM simulations on the stellar mass function or stellar-to-halo mass relation reduces uncertainty in b_phi by 88-97% for DESI emission line galaxy samples while remaining consistent across galaxy f...
-
Witnessing the onset of stellar winds in Super-Luminous Supernova Hosts: implications for star-formation-driven outflows in low and high-redshift galaxies
Spectroscopic observations of six low-mass, metal-poor SLSN host galaxies reveal slow stellar-wind-driven outflows with velocities 37-104 km/s and mass-loading factors below 1 in the earliest phases of star formation.
-
Empirical estimates of how massive galaxies can be in {\Lambda}CDM
Corrected empirical limits show the most massive galaxies never exceed the theoretical baryonic maximum of 0.16 times halo virial mass, keeping observations consistent with LambdaCDM at all redshifts.
-
ArkenstoneBH. A model for high-specific energy black hole feedback in cosmological simulations
ArkenstoneBH is a new subgrid model for the hot phase of black hole feedback that, in isolated galaxy tests, suppresses star formation by counteracting gas inflows from the circumgalactic medium.
-
Resolving the Multiphase Outflow, Shock Signatures, and PAHs in the AGN-Starburst Composite ULIRG F10565+2448 with JWST MIRI/MRS
JWST observations resolve multiphase nuclear and kpc-scale outflows with velocities up to 520 km/s and PAH property gradients in the AGN-starburst composite ULIRG F10565+2448.
-
Galaxy mergers and disk angular momentum evolution: stellar halos as a critical test
In TNG-50, 80% of Milky Way-mass galaxies align their present-day angular momentum with the orbital angular momentum of their most massive merger, and 81% of their stellar halos rotate prograde relative to the disk.
-
The GECKOS survey: Resolving the molecular and ionised gas in the galactic outflow of ESO~484-036
Multiphase observations show molecular gas mass loading factors 10 times higher than ionised gas in ESO 484-036, creating a 3.5 dex discrepancy with cosmological simulations that underpredict cold gas outflows.
-
Black Hole Binary Detection Landscape for the Laser Interferometer Lunar Antenna (LILA): Signal-to-Noise Calculations & Science Cases
LILA can detect IMBH binaries at redshifts 20-30, IMRIs, and provide months-to-years early warnings with high-SNR events for gravity tests.
-
Tracing Radio AGN-Driven Quenching in Post-Starburst Galaxies at Cosmic Noon
Post-starburst galaxies at cosmic noon show very low radio detection rates and compact weak sources, consistent with short-lived low-luminosity AGN, while older quiescent galaxies exhibit stronger extended radio emission.
-
Empirical estimates of how massive galaxies can be in {\Lambda}CDM
Empirical upper limits on galaxy stellar masses from extreme value statistics, after correcting for Eddington bias and halo mass scatter, remain below the theoretical baryonic maximum of 0.16 times halo mass at all re...
-
The galaxy ultraviolet luminosity function from $z=7$ to $15$ in the COLIBRE simulations
COLIBRE simulations underpredict bright-end UV galaxy luminosities by 1 to 2.5 magnitudes at z=7-15 compared with observations, with the discrepancy persisting after dust attenuation and uncertainty accounting.
-
The galaxy-halo connection and the dynamical evolution of a giant disc in a massive node of the Cosmic Web at z~3
The Big Wheel at z~3 has a stellar-to-halo mass ratio of 0.06, higher than expected, implying efficient stellar assembly without major mergers or instabilities.
-
Environmental Quenching of High-Redshift Galaxies: Interpreting JWST Observations with Simulations
Multiple galaxy formation simulations show that low-mass quenched galaxies at z>3 are predominantly environmentally quenched satellites, often only temporarily so, and match JWST observations.
-
A graph-based Neural Network surrogate model for accelerating semi-analytical model of galaxy formation and evolution
A conditional graph neural network serves as an accurate and fast surrogate for semi-analytic galaxy formation models, predicting key properties across cosmic time.
-
A population-based approach to understanding radio AGN feedback with LOFAR: The LoTSS Deep Fields
Radio AGN jets inject a total kinetic power density of 10^32 to 10^33 W per cubic megaparsec from z=0 to 2.5, matching requirements for feedback in galaxy evolution models.
-
Galaxy Populations in the IllustrisTNG Caustic Skeleton
Galaxy properties in IllustrisTNG form a continuum across the multiscale caustic skeleton, with formation time of web components influencing colors and star formation activity.
-
Too Big to Quench? I. Constraining ISM Stripping of Dwarf Satellites in Milky Way-like Halos
Simulations constrain the mass scale for efficient ISM stripping of dwarf satellites to M_star ≲ 10^7 M_sun in MW-like halos, 0.5-1 dex below observed values, indicating additional quenching mechanisms are needed.
-
The Galaxy Luminosity Functions in ASTRID: Predictions for LSST
ASTRID simulation with dust model calibrated to SDSS at z=0 produces validated luminosity functions and LSST-ready mock catalogs of 378 million galaxies with predicted number counts in ugrizy bands from z=0 to 2.
-
Contribution of interstellar objects to local dark matter density
Interstellar objects may contribute enough baryonic mass to reduce the local dark matter halo density to 0.24 GeV/cm³.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.