Combining cosmological constraints from cluster counts and galaxy
  clustering
  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.
