The dark side of galaxy colour
By Andrew P. Hearin, D. Watson. 2013
161 citations recorded by the source corpus.
We present age distribution matching, a theoretical formalism for predicting how galaxies of luminosity L and color C occupy dark matter halos. Our model supposes that there are just two fundamental properties of a halo that determine the color and brightness of the galaxy it hosts: the maximum circular velocity Vmax, and the redshift zstarve that correlates with the epoch at which the star formation in the galaxy ceases. The halo property zstarve is intended to encompass physical characteristics of halo mass assembly that may deprive the galaxy of its cold gas supply and, ultimately, quench its star formation. The new, defining feature of the model is that, at fixed luminosity, galaxy color is in monotonic correspondence with zstarve, with the larger values of zstarve being assigned redder colors. We populate an N- body simulation with a mock galaxy catalog based on age distribution matching, and show that the resulting mock galaxy distribution accurately describes a variety of galaxy statistics. Our model suggests that halo and galaxy assembly are indeed correlated. We make publicly available our lowredshift, SDSS Mr < 19 mock galaxy catalog, and main progenitor histories of all z = 0 halos, at http://logrus.uchicago.edu/�aphearin
Subfields: Astronomy and Astrophysics, Ecology, Instrumentation
View Paper: https://www.semanticscholar.org/paper/8aa47b5dffc354f5acb088096386efa5f9c1b6c1
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In Astronomy and Astrophysics
In Ecology
- F. V. D. Bosch
- C. Conroy
- Risa Wechsler
- A. Zentner
- P. Behroozi
- Jeremiah P. Ostriker
- Andrew P. Hearin
- Rachel Mandelbaum
In Instrumentation
Citations in the corpus
- Evolution of density profiles in high-z galaxies: compaction and quenching inside-out (2015, background): “…or super-massive black hole feedback (e.g., Di Matteo et al. 2005; Croton et al. 2006; Ciotti & Ostriker 2007; Cattaneo et al. 2009), and/or by a slowdown of gas supply into the galaxy (Rees & Ostriker 1977; Dekel & Birnboim 2006; Feldmann et al. 2010; Hearin & Watson 2013; Feldmann & Mayer 2015).”
- UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z = 0−10 (2018, methodology): “A1 Classical Age-Matching (zstarve) CAM using the zstarve parameter is known to reproduce galaxy clustering, weak lensing, and radial quenching profiles around groups and clusters (Hearin & Watson 2013; Hearin et al. 2015; Watson et al. 2015).”
- Mapping stellar content to dark matter haloes using galaxy clustering and galaxy–galaxy lensing in the SDSS DR7 (2015, background): “Hearin & Watson (2013) later extended this assumption to further relate the halo formation time to the colour of each galaxy to interpret the colour dependence of the clustering and lensing statistics (also see Kulier & Ostriker 2015, for an interesting proposal of a two–parameter abundance…”
- Theoretical Challenges in Galaxy Formation (2016, background): “…galaxy mass functions to simulated halo mass functions (Behroozi, Conroy & Wechsler 2010; Behroozi, Wechsler & Conroy 2013; Conroy, Wechsler & Kravtsov 2006; Hearin & Watson 2013; Lu et al. 2015; Moster, Naab & White 2013; Moster et al. 2010; Shankar et al. 2006; Vale & Ostriker 2004, 2006).”
- Galaxy assembly bias: a significant source of systematic error in the galaxy–halo relationship (2013, methodology): “As was shown in Hearin & Watson (2013), the resulting mock galaxy distribution exhibits good agreement with the luminosity and color-dependent two-point clustering measurements made by the SDSS Zehavi et al. (2011).”