A unified multiwavelength model of galaxy formation
By C. Lacey, C. Baugh, Carlos S. Frenk, A. Benson, Richard G. Bower, Shaun Cole, V. Gonzalez-Perez, John C. Helly, C. Lagos, P. D. M. Icc and 9 more. 2015
289 citations recorded by the source corpus.
We present a new version of the GALFORM semi-analytical model of galaxy formation. This brings together several previous developments of GALFORM into a single unified model, including a different initial mass function (IMF) in quiescent star formation and in starbursts, feedback from active galactic nuclei supressing gas cooling in massive halos, and a new empirical star formation law in galaxy disks based on their molecular gas content. In addition, we have updated the cosmology, introduced a more accurate treatment of dynamical friction acting on satellite galaxies, and updated the stellar population model. The new model is able to simultaneously explain both the observed evolution of the K-band luminosity function and stellar mass function, and the number counts and redshift distribution of sub-mm galaxies selected at 850μm. This was not previously achieved by a single physical model within the ΛCDM framework, but requires having an IMF in starbursts that is somewhat top-heavy. The new model is tested against a wide variety of observational data covering wavelengths from the far-UV to sub-mm, and redshifts from z = 0 to z = 6, and is found to be generally successful. These observations include the optical and near-IR luminosity functions, HI mass function, fraction of early type galaxies, Tully-Fisher, metallicity-luminosity and size-luminosity relations at z = 0, as well as far-IR number counts, and far-UV luminosity functions at z ∼ 3 − 6. Discrepancies are however found in galaxy sizes and metallicities at low luminosities, and in the abundance of low mass galaxies at high-z, suggesting the need for a more sophisticated model of supernova feedback.
Subfields: Astronomy and Astrophysics, Instrumentation
View Paper: https://www.semanticscholar.org/paper/15067947e3213d5c04406b57bf5a97bf573ecdeb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
In Instrumentation
Citations in the corpus
- A Redshift-independent Efficiency Model: Star Formation and Stellar Masses in Dark Matter Halos at z ≳ 4 (2018, methodology): “…histories using a Monte Carlo approach following the EPS model (e.g. Kauffmann et al. 1993; Somerville et al. 2000; Cole et al. 2008; Yung et al. 2018) or (ii) directly extracting the merger history of halos from an N -body simulation (e.g. Helly et al. 2003; Guo et al. 2013; Lacey et al. 2016).”
- On the stunning abundance of super-early, luminous galaxies revealed by JWST (2022, background): “This has been advocated to simultaneously match both the number counts and redshift distribution of sub-mm galaxies (Lacey et al. 2016b).”
- Simulating galaxy formation with the IllustrisTNG model (2017, background): “…Vogelsberger & Angulo 2012; Kim et al. 2014; Skillman et al. 2014) and coupled with ever-more comprehensive semi-analytical models for galaxy formation (from Kauffmann, White & Guiderdoni 1993; Springel et al. 2001 to Benson 2012; Henriques et al. 2015; Lacey et al. 2016; Croton et al. 2016).”
- xCOLD GASS: The Complete IRAM 30 m Legacy Survey of Molecular Gas for Galaxy Evolution Studies (2017, background): “Whether they are used as a test of the output of simulations (e.g. Lagos et al. 2015; Lacey et al. 2016; Davé et al. 2017), or as fitting constraints (e.g. Popping et al. 2015; Martindale et al. 2016), the cold gas scaling relations, which have been observed and calibrated up to z ∼ 2 (Tacconi et…”
- First results from the IllustrisTNG simulations: matter and galaxy clustering (2017, background): “…matching a large variety of observational data, both at the present epoch and at high redshift (e.g. Kauffmann, White & Guiderdoni 1993; De Lucia et al. 2006; Somerville et al. 2008; Benson 2012; Clay et al. 2015; Henriques et al. 2015; Croton et al. 2016; Lacey et al. 2016; Cattaneo et al. 2017).”