Breaking Halo Occupation Degeneracies with Marked Statistics

Abstract

We show that a suitably defined marked correlation function can be used to break degeneracies in halo-occupation distribution modeling. The statistic can be computed on both 3D and 2D data sets, and should be applicable to all upcoming galaxy surveys. A proof of principle, using mock catalogs created from N-body simulations, is given.

4 pages, 3 figures, minor revisions to match version accepted by MNRAS

References in corpus (14)

• Halo Models of Large Scale Structure
• Analytic model for galaxy and dark matter clustering
• Halo occupation numbers and galaxy bias
• Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies
• The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation
• On the environmental dependence of halo formation
• A marked correlation function analysis of halo formation times in the Millennium Simulation
• Towards optimal softening in 3D N-body codes: I. Minimizing the force error
• Breaking the Degeneracies Between Cosmology and Galaxy Bias
• Cosmology and the Halo Occupation Distribution from Small-Scale Galaxy Clustering in the Sloan Digital Sky Survey
• Luminosity- and morphology-dependent clustering of galaxies
• The Three-Point Correlation Function of Luminous Red Galaxies in the Sloan Digital Sky Survey
• Spatial distribution of galactic halos and their merger histories
• Deprojecting Densities from Angular Cross-Correlations

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