2018
DOI: 10.1093/mnras/sty283
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Does the galaxy–halo connection vary with environment?

Abstract: SubHalo Abundance Matching (SHAM) assumes that one (sub)halo property, such as mass M vir or peak circular velocity V peak , determines properties of the galaxy hosted in each (sub)halo such as its luminosity or stellar mass. This assumption implies that the dependence of Galaxy Luminosity Functions (GLFs) and the Galaxy Stellar Mass Function (GSMF) on environmental density is determined by the corresponding halo density dependence. In this paper, we test this by determining from an SDSS sample the observed de… Show more

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Cited by 40 publications
(43 citation statements)
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“…We use K-corrected magnitudes at z = 0 tabulated in Blanton et al (2017). In addition, we introduce the empirical model for the E-correction at z = 0 described in Dragomir et al (2018). Finally, we derive the GSMF from the galaxy sample in Blanton et al (2017) denoted herafter as φ * (M * ).…”
Section: Appendix E: Volume Correctionsmentioning
confidence: 99%
“…We use K-corrected magnitudes at z = 0 tabulated in Blanton et al (2017). In addition, we introduce the empirical model for the E-correction at z = 0 described in Dragomir et al (2018). Finally, we derive the GSMF from the galaxy sample in Blanton et al (2017) denoted herafter as φ * (M * ).…”
Section: Appendix E: Volume Correctionsmentioning
confidence: 99%
“…This could still be quite expensive if the goal is efficiently creating fully nonlinear galaxy catalogues that could be directly compared to observations. One of the most promising ★ E-mail:matteo_zennaro001@ehu.eus methods in this sense is the so called sub-halo abundance matching (Conroy et al 2006;Reddick et al 2013;Chaves-Montero et al 2016;Lehmann et al 2017;Dragomir et al 2018), which exploits the substructures identified in gravity-only simulations, matching their abundance to an observed stellar-mass or luminosity functions. Recent improvements to this technique, such as the SHAMe model proposed by Contreras et al (2021b), have proven particularly reliable in reproducing hydrodynamical results at a fraction of the computational cost.…”
Section: Introductionmentioning
confidence: 99%
“…where M 0.0 r,i is the Petrosian magnitude K+E-corrected at a rest frame z = 0, K gr,i (z) is the K-correction (see Appendix B) and E r,i = 1.1z (following Dragomir et al 2018) for the ith galaxy in the sample. For the completeness limits, we use the limiting apparent magnitude in the r-band of m lim,r = 17.77.…”
Section: A Derivation Of the Sdss Dr7 Gsmfmentioning
confidence: 99%
“…We apply K+E-corrections at a rest frame z = 0. We use the values reported in Dragomir et al (2018) for g and i bands given, respectively, by E g = 1.3 × z and E i = 1.09 × z. K-corrections are discuss in Appendix B. We applied a shift of −0.1 dex to the resulting masses from the colour-dependent mass-to-light ratios of Bell et al (2003) to be consistent with the Chabrier (2003) IMF adopted in this paper.…”
Section: A Derivation Of the Sdss Dr7 Gsmfmentioning
confidence: 99%