Galaxy Formation in the Santa Cruz semi-analytic model compared with IllustrisTNG -- I. Galaxy scaling relations, dispersions, and residuals at z=0
arXiv:2111.03077 · doi:10.1093/mnras/stac2297
Abstract
We present the first results from applying the Santa Cruz semi-analytic model (SAM) for galaxy formation on merger trees extracted from a dark matter only version of the IllustrisTNG (TNG) simulations. We carry out a statistical comparison between the predictions of the Santa Cruz SAM and TNG for a subset of central galaxy properties at z = 0, with a focus on stellar mass, cold and hot gas mass, star formation rate (SFR), and black hole (BH) mass. We find fairly good agreement between the mean predictions of the two methods for stellar mass functions and the stellar mass vs. halo mass (SMHM) relation, and qualitatively good agreement between the SFR or cold gas mass vs. stellar mass relation and quenched fraction as a function of stellar mass. There are greater differences between the predictions for hot (circumgalactic) gas mass and BH mass as a function of halo mass. Going beyond the mean relations, we also compare the dispersion in the predicted scaling relations, and the correlation in residuals on a halo-by-halo basis between halo mass and galaxy property scaling relations. Intriguingly, we find similar correlations between residuals in SMHM in the SAM and in TNG, suggesting that these relations may be shaped by similar physical processes. Other scaling relations do not show significant correlations in the residuals, indicating that the physics implementations in the SAM and TNG are significantly different.
22 pages, 15 figures, accepted for publication in MNRAS
References in corpus (20)
- Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
- Properties of galaxies reproduced by a hydrodynamic simulation
- Simulating galaxy formation with black hole driven thermal and kinetic feedback
- A Semi-Analytic Model for the Co-evolution of Galaxies, Black Holes, and Active Galactic Nuclei
- Introducing the Illustris Project: the evolution of galaxy populations across cosmic time
- Massloss of galaxies due to a UV-background
- PRIMUS: Constraints on Star Formation Quenching and Galaxy Merging, and the Evolution of the Stellar Mass Function From z=0-1
- Environmental Dependence of the Kennicutt-Schmidt Relation in Galaxies
- Fast likelihood-free cosmology with neural density estimators and active learning
- The role of mergers and halo spin in shaping galaxy morphology
- Line-Intensity Mapping: 2017 Status Report
- Multi-Element Abundance Measurements from Medium-Resolution Spectra. IV. Alpha Element Distributions in Milky Way Dwarf Satellite Galaxies
- The origin of scatter in the stellar mass - halo mass relation of central galaxies in the EAGLE simulation
- Atomic and molecular gas in IllustrisTNG galaxies at low redshift
- Understanding the Structural Scaling Relations of Early-Type Galaxies
- Accretion, feedback and galaxy bimodality: a comparison of the GalICS semi-analytic model and cosmological SPH simulations
- Mock Lightcones and Theory Friendly Catalogs for the CANDELS Survey
- Molecular hydrogen in IllustrisTNG galaxies: carefully comparing signatures of environment with local CO & SFR data
- Galaxy assembly bias and large-scale distribution: a comparison between IllustrisTNG and a semi-analytic model
- Halo Merger Tree Comparison: Impact on Galaxy Formation Models
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