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• W2914189192 abstract "ABSTRACT We present a halo occupation distribution (HOD) analysis of the luminosity- and colour-dependent galaxy clustering in the Sloan Digital Sky Survey. A novelty of our technique is that it uses a combination of clustering measurements in luminosity bins to perform a global likelihood analysis, simultaneously constraining the HOD parameters for a range of luminosity thresholds. We present simple, smooth fitting functions which accurately describe the resulting luminosity dependence of the best-fitting HOD parameters. To minimize systematic halo modelling effects, we use theoretical halo 2-point correlation functions directly measured and tabulated from a suite of N-body simulations spanning a large enough dynamic range in halo mass and spatial separation. Thus, our modelling correctly accounts for non-linear and scale-dependent halo bias as well as any departure of halo profiles from universality, and we additionally account for halo exclusion using the hard sphere approximation. Using colour-dependent clustering information, we constrain the satellite galaxy red fraction in a model-independent manner which does not rely on any group-finding algorithm. We find that the resulting luminosity dependence of the satellite red fraction is significantly shallower than corresponding measurements from galaxy group catalogues, and we provide a simple fitting function to describe this dependence. Our fitting functions are readily usable in generating low-redshift mock galaxy catalogues, and we discuss some potentially interesting applications as well as possible extensions of our technique." @default.
• W2914189192 created "2019-02-21" @default.
• W2914189192 creator A5024147758 @default.
• W2914189192 creator A5046760484 @default.
• W2914189192 creator A5070144522 @default.
• W2914189192 date "2019-07-01" @default.
• W2914189192 modified "2023-10-16" @default.
• W2914189192 title "Global analysis of luminosity- and colour-dependent galaxy clustering in the Sloan Digital Sky Survey" @default.
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• W2914189192 doi "https://doi.org/10.1093/mnras/stz1764" @default.
• W2914189192 hasPublicationYear "2019" @default.
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