Present and future large scale surveys offer promising probes of cosmology. For example the Dark Energy Survey (DES) is forecast to detect ~300 millions galaxies and thousands clusters up to redshift ~1.3. I here show ongoing work to combine two probes of large scale structure : cluster number counts and galaxy 2-point function (in real or harmonic space). The halo model (coupled to a Halo Occupation Distribution) can be used to model the cross-covariance between these probes, and I introduce a diagrammatic method to compute easily the different terms involved. Furthermore, I compute the joint non-Gaussian likelihood, using the Gram-Charlier series. Then I show how to extend the methods of Bayesian hyperparameters to Poissonian distributions, in a first step to include them in this joint likelihood.
@article{arxiv.1407.1247,
title = {Combining cosmological constraints from cluster counts and galaxy clustering},
author = {Fabien Lacasa},
journal= {arXiv preprint arXiv:1407.1247},
year = {2014}
}
Comments
5 pages, 5 figures. Proceedings of the IAUS 306: Statistical challenges in 21st Century Cosmology (SCCC 21). Compared to the proceedings version : larger figures in color