Testing the predictions of the cold dark matter model for the sizes, colours, morphologies and luminosities of galaxies with the SDSS
arXiv:0812.4399 · doi:10.1111/j.1365-2966.2009.15057.x
Abstract
The huge size and uniformity of the Sloan Digital Sky Survey makes possible an exacting test of current models of galaxy formation. We compare the predictions of the GALFORM semi-analytical galaxy formation model for the luminosities, morphologies, colours and scale-lengths of local galaxies. GALFORM models the luminosity and size of the disk and bulge components of a galaxy, and so we can compute quantities which can be compared directly with SDSS observations, such as the Petrosian magnitude and the Sersic index. We test the predictions of two published models set in the cold dark matter cosmology: the Baugh et al. (2005) model, which assumes a top-heavy initial mass function (IMF) in starbursts and superwind feedback, and the Bower et al. (2006) model, which uses AGN feedback and a standard IMF. The Bower et al model better reproduces the overall shape of the luminosity function, the morphology-luminosity relation and the colour bimodality observed in the SDSS data, but gives a poor match to the size-luminosity relation. The \Baugh et al. model successfully predicts the size-luminosity relation for late-type galaxies. Both models fail to reproduce the sizes of bright early-type galaxies. These problems highlight the need to understand better both the role of feedback processes in determining galaxy sizes, in particular the treatment of the angular momentum of gas reheated by supernovae, and the sizes of the stellar spheroids formed by galaxy mergers and disk instabilities.
Accepted for publication in MNRAS. 23 pages, 24 figures. Small changes following referee's report, including more extended discussion of physical parameters affecting disk size vs luminosity relation (new Sec.4.5.4 and new Fig.20)
References in corpus (16)
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Data Processing, Sky Maps, and Basic Results
- Forming Disk Galaxies in Lambda CDM Simulations
- A primer on hierarchical galaxy formation: the semi-analytical approach
- The spin and shape of dark matter haloes in the Millennium simulation of a LambdaCDM universe
- The MORGANA model for the rise of galaxies and active nuclei
- Feedback and metal enrichment in cosmological SPH simulations - II. A multiphase model with supernova energy feedback
- Effects of AGN feedback on LCDM galaxies
- Black Hole Growth in Hierarchical Galaxy Formation
- Galaxy evolution in the infra-red: comparison of a hierarchical galaxy formation model with SPITZER data
- Erratum - The many lives of AGN: cooling flows, black holes and the luminosities and colours of galaxies
- Luminosity and stellar mass functions of disks and spheroids in the SDSS and the supermassive black hole mass function
- The clustering of Ly-alpha emitters in a LambdaCDM Universe
- The structural and photometric properties of early-type galaxies in hierarchical models
- Luminous Red Galaxies in hierarchical cosmologies
- Mock galaxy redshift catalogues from simulations: implications for Pan-STARRS1
Cited by in corpus (10)
- Understanding the Structural Scaling Relations of Early-Type Galaxies
- The origin of the atomic and molecular gas contents of early-type galaxies. I. A new test of galaxy formation physics
- The host dark matter halos of [OII] emitters at 0.5< z< 1.5
- The Next Generation Virgo Cluster Survey (NGVS). XXIV. The Red Sequence to 10 L and Comparisons with Galaxy Formation Models
- Properties of Submillimeter Galaxies in a Semi-analytic Model using the "Count Matching" Approach: Application to the ECDF-S
- Primordial star clusters at extreme magnification
- Galactic magnetic fields and hierarchical galaxy formation
- Dark-ages reionization and galaxy formation simulation--VII. The sizes of high-redshift galaxies
- On the accuracy of dark matter halo merger trees and the consequences for semi-analytic models of galaxy formation
- Efficient exploration and calibration of a semi-analytical model of galaxy formation with deep learning