Accurate Modeling of the Projected Galaxy Clustering in Photometric
  Surveys: I. Tests with Mock Catalogs
  We develop a novel method to explore the galaxy-halo connection using the
galaxy imaging surveys by modeling the projected two-point correlation function
measured from the galaxies with reasonable photometric redshift measurements.
By assuming a Gaussian form of the photometric redshift errors, we are able to
simultaneously constrain the halo occupation distribution (HOD) models and the
effective photometric redshift uncertainties. Tests with mock galaxy catalogs
demonstrate that this method can successfully recover (within $\sim 1\sigma$)
the intrinsic large-scale galaxy bias, as well as the HOD models and the
effective photometric redshift uncertainty. This method also works well even
for galaxy samples with 10 per cent catastrophic photometric redshift errors.
