Higher-order Clustering Of Luminous Red Galaxies In The SDSS

Mathematics – Logic

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Scientific paper

The Sloan Digital Sky Survey (SDSS) Luminous Red Galaxy (LRG) spectroscopic sample provides us with a map of large-scale over- densities in the Universe within a volume of 1 (Gpc/h)^3. The main advantage of using LRGs is that they are highly biased with respect to the underlying dark matter and thus efficient tracers of the large-scale structures in the Universe, e.g., LRGs have been essential for the detection and measurement of the Baryon Acoustic Oscillations (BAO).
To make full use of the LRG samples, it is important to accurately model the mapping between galaxies and the dark matter. Recently, this has been achieved using the "halo model" for how galaxies inhabit their dark matter halos. In detail, we use the Halo Occupation Distribution (HOD) to populate a suite of N-body simulations (to create a grid of mock catalogues), and compare these to the observed LRG population. To add constraining power, we use the Three-Point Correlation Function (3PCF), which encodes much more information than the usual two-point statistics.
In this talk, we present preliminary results of our HOD analysis for an LRG sample selected from the final DR7 SDSS catalogue. We will also discuss the detection of the BAO in the 3PCF and place constraints on cosmological parameters. Finally, we will briefly outline the use of the 3PCF in constraining non-guassianity.

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