  We present halo model predictions for the expected angular clustering and
associated errors from the completed Sloan Digital Sky Survey (SDSS)
photometric galaxy sample. These results are used to constrain halo model
parameters under the assumption of a fixed LCDM cosmology using standard Fisher
matrix techniques. Given the ability of the five-color SDSS photometry to
separate galaxies into sub-populations by intrinsic color, we also use
extensions of the standard halo model formalism to calculate the expected
clustering of red and blue galaxy sub-populations as a further test of the
galaxy evolution included in the semi-analytic methods for populating dark
matter halos with galaxies. The extremely small sample variance and Poisson
errors from the completed SDSS survey should result in very impressive
constraints (~1-10%) on the halo model parameters for a simple
magnitude-limited sample and should provide an extremely useful check on the
behavior of current and future N-body simulations and semi-analytic techniques.
We also show that similar constraints are possible using a narrow selection
function, as would be possible using photometric redshifts, without making
linear assumptions regarding the evolution of the underlying power spectra. In
both cases, we explore the effects of uncertainty in the selection function on
the resulting constraints and the degeneracies between various combinations of
parameters.
