How are galaxies assigned to halos? Searching for assembly bias in the SDSS galaxy clustering. Vakili, M. arXiv:1610.01991 [astro-ph], October, 2016. arXiv: 1610.01991![How are galaxies assigned to halos? Searching for assembly bias in the SDSS galaxy clustering [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Clustering of dark matter halos has been shown to depend on halo properties beyond mass such as halo concentration, a phenomenon referred to as halo assembly bias. Standard halo occupation modeling (HOD) in large scale structure studies assumes that halo mass alone is sufficient in characterizing the connection between galaxies and halos. Modeling of galaxy clustering can face systematic effects if the number or properties of galaxies are correlated with other halo properties. Using the Small MultiDark-Planck high resolution \$N\$-body simulation and the measurements of the projected two-point correlation function and the number density of Sloan Digital Sky Survey (SDSS) DR7 main galaxy sample, we investigate the extent to which the dependence of halo occupation on halo concentration can be constrained, and to what extent allowing for this dependence can improve our modeling of galaxy clustering. Given the SDSS clustering data, our constraints on HOD with assembly bias, suggests that satellite population is not correlated with halo concentration at fixed halo mass. Furthermore, in terms of the occupation of centrals at fixed halo mass, our results favor lack of correlation with halo concentration in the most luminous samples (\$M_\{{\textbackslash}rm r\}{\textless}-21.5,-21\$), modest levels of correlation for \$M_\{{\textbackslash}rm r\}{\textless}-20.5,-20, -19.5\$ samples, lack of correlation for \$M_\{{\textbackslash}rm r\}{\textless}-19,-18.5\$ samples, and anti-correlation for the faintest sample \$M_\{{\textbackslash}rm r\}{\textless}-18\$. We show that in comparison with abundance-matching mock catalogs, our findings suggest qualitatively similar but modest levels of assembly bias that is only present in the central occupation. Furthermore, by performing model comparison based on information criteria, we find that in most cases, the standard mass-only HOD model is still favored by the observations.
@article{vakili_how_2016,
title = {How are galaxies assigned to halos? {Searching} for assembly bias in the {SDSS} galaxy clustering},
shorttitle = {How are galaxies assigned to halos?},
url = {http://arxiv.org/abs/1610.01991},
abstract = {Clustering of dark matter halos has been shown to depend on halo properties beyond mass such as halo concentration, a phenomenon referred to as halo assembly bias. Standard halo occupation modeling (HOD) in large scale structure studies assumes that halo mass alone is sufficient in characterizing the connection between galaxies and halos. Modeling of galaxy clustering can face systematic effects if the number or properties of galaxies are correlated with other halo properties. Using the Small MultiDark-Planck high resolution \$N\$-body simulation and the measurements of the projected two-point correlation function and the number density of Sloan Digital Sky Survey (SDSS) DR7 main galaxy sample, we investigate the extent to which the dependence of halo occupation on halo concentration can be constrained, and to what extent allowing for this dependence can improve our modeling of galaxy clustering. Given the SDSS clustering data, our constraints on HOD with assembly bias, suggests that satellite population is not correlated with halo concentration at fixed halo mass. Furthermore, in terms of the occupation of centrals at fixed halo mass, our results favor lack of correlation with halo concentration in the most luminous samples (\$M\_\{{\textbackslash}rm r\}{\textless}-21.5,-21\$), modest levels of correlation for \$M\_\{{\textbackslash}rm r\}{\textless}-20.5,-20, -19.5\$ samples, lack of correlation for \$M\_\{{\textbackslash}rm r\}{\textless}-19,-18.5\$ samples, and anti-correlation for the faintest sample \$M\_\{{\textbackslash}rm r\}{\textless}-18\$. We show that in comparison with abundance-matching mock catalogs, our findings suggest qualitatively similar but modest levels of assembly bias that is only present in the central occupation. Furthermore, by performing model comparison based on information criteria, we find that in most cases, the standard mass-only HOD model is still favored by the observations.},
urldate = {2016-10-12},
journal = {arXiv:1610.01991 [astro-ph]},
author = {Vakili, Mohammadjavad},
month = oct,
year = {2016},
note = {arXiv: 1610.01991},
keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics},
}
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Using the Small MultiDark-Planck high resolution \\$N\\$-body simulation and the measurements of the projected two-point correlation function and the number density of Sloan Digital Sky Survey (SDSS) DR7 main galaxy sample, we investigate the extent to which the dependence of halo occupation on halo concentration can be constrained, and to what extent allowing for this dependence can improve our modeling of galaxy clustering. Given the SDSS clustering data, our constraints on HOD with assembly bias, suggests that satellite population is not correlated with halo concentration at fixed halo mass. Furthermore, in terms of the occupation of centrals at fixed halo mass, our results favor lack of correlation with halo concentration in the most luminous samples (\\$M_\\{{\\textbackslash}rm r\\}{\\textless}-21.5,-21\\$), modest levels of correlation for \\$M_\\{{\\textbackslash}rm r\\}{\\textless}-20.5,-20, -19.5\\$ samples, lack of correlation for \\$M_\\{{\\textbackslash}rm r\\}{\\textless}-19,-18.5\\$ samples, and anti-correlation for the faintest sample \\$M_\\{{\\textbackslash}rm r\\}{\\textless}-18\\$. We show that in comparison with abundance-matching mock catalogs, our findings suggest qualitatively similar but modest levels of assembly bias that is only present in the central occupation. Furthermore, by performing model comparison based on information criteria, we find that in most cases, the standard mass-only HOD model is still favored by the observations.","urldate":"2016-10-12","journal":"arXiv:1610.01991 [astro-ph]","author":[{"propositions":[],"lastnames":["Vakili"],"firstnames":["Mohammadjavad"],"suffixes":[]}],"month":"October","year":"2016","note":"arXiv: 1610.01991","keywords":"Astrophysics - Cosmology and Nongalactic Astrophysics","bibtex":"@article{vakili_how_2016,\n\ttitle = {How are galaxies assigned to halos? {Searching} for assembly bias in the {SDSS} galaxy clustering},\n\tshorttitle = {How are galaxies assigned to halos?},\n\turl = {http://arxiv.org/abs/1610.01991},\n\tabstract = {Clustering of dark matter halos has been shown to depend on halo properties beyond mass such as halo concentration, a phenomenon referred to as halo assembly bias. Standard halo occupation modeling (HOD) in large scale structure studies assumes that halo mass alone is sufficient in characterizing the connection between galaxies and halos. Modeling of galaxy clustering can face systematic effects if the number or properties of galaxies are correlated with other halo properties. Using the Small MultiDark-Planck high resolution \\$N\\$-body simulation and the measurements of the projected two-point correlation function and the number density of Sloan Digital Sky Survey (SDSS) DR7 main galaxy sample, we investigate the extent to which the dependence of halo occupation on halo concentration can be constrained, and to what extent allowing for this dependence can improve our modeling of galaxy clustering. Given the SDSS clustering data, our constraints on HOD with assembly bias, suggests that satellite population is not correlated with halo concentration at fixed halo mass. Furthermore, in terms of the occupation of centrals at fixed halo mass, our results favor lack of correlation with halo concentration in the most luminous samples (\\$M\\_\\{{\\textbackslash}rm r\\}{\\textless}-21.5,-21\\$), modest levels of correlation for \\$M\\_\\{{\\textbackslash}rm r\\}{\\textless}-20.5,-20, -19.5\\$ samples, lack of correlation for \\$M\\_\\{{\\textbackslash}rm r\\}{\\textless}-19,-18.5\\$ samples, and anti-correlation for the faintest sample \\$M\\_\\{{\\textbackslash}rm r\\}{\\textless}-18\\$. We show that in comparison with abundance-matching mock catalogs, our findings suggest qualitatively similar but modest levels of assembly bias that is only present in the central occupation. 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