CosmoLike - Cosmological Likelihood Analyses for Photometric Galaxy
  Surveys
  We explore strategies to extract cosmological constraints from a joint
analysis of cosmic shear, galaxy-galaxy lensing, galaxy clustering, cluster
number counts and cluster weak lensing. We utilize the CosmoLike software to
simulate results from an LSST like data set, specifically, we 1) compare
individual and joint analyses of the different probes, 2) vary the selection
criteria for lens and source galaxies, 3) investigate the impact of blending,
4) investigate the impact of the assumed cosmological model in multi-probe
covariances, 6) quantify information content as a function of scales, and 7)
explore the impact of intrinsic galaxy alignment in a multi-probe context. Our
analyses account for all cross correlations within and across probes and
include the higher-order (non-Gaussian) terms in the multi-probe covariance
matrix. We simultaneously model cosmological parameters and a variety of
systematics, e.g. uncertainties arising from shear and photo-z calibration,
cluster mass-observable relation, galaxy intrinsic alignment, and galaxy bias
(up to 54 parameters altogether). We highlight two results: First, increasing
the number density of source galaxies by ~30%, which corresponds to solving
blending for LSST, only gains little information. Second, including small
scales in clustering and galaxy-galaxy lensing, by utilizing HODs, can
substantially boost cosmological constraining power. The CosmoLike modules used
to compute the results in this paper will be made publicly available at
https://github.com/elikrause/CosmoLike_Forecasts.
