Breaking halo occupation degeneracies with marked statistics

2008/12/31 by Martin White, Nikhil Padmanabhan · 47 citations
Computer Science · Environmental Science · Physics and Astronomy · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Astronomy #Astrophysics #Galaxy #Halo #Physics #Remote Sensing and LiDAR Applications #astro-ph

paper · pdf · doi:10.1111/j.1365-2966.2009.14732.x

published in Monthly Notices of the Royal Astronomical Society 395(4), 2381-2384 (Oxford University Press) · 4 pages, 3 figures, minor revisions to match version accepted by MNRAS

arxiv created 2009/03/03 · openalex publication_date 2009/04/27 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

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

Citations

• Luminosity‐ and Morphology‐dependent Clustering of Galaxies
• The three-point correlation function of luminous red galaxies in the Sloan Digital Sky Survey
• Deprojecting Densities from Angular Cross‐Correlations
• Spatial distribution of galactic halos and their merger histories
• On the environmental dependence of halo formation

Cited by

• Tomographic Alcock-Paczynski Test with Marked Correlation Functions

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