  We present a new estimator, omega, of the small scale galaxy correlation
function that is robust against the effects of redshift space distortions and
large scale structures. The estimator is a weighted integral of the redshift
space or angular correlation function and is a convolution of the real space
correlation function with a localized filter. This allows a direct comparison
with theory, without modeling redshift space distortions and the large scale
correlation function. This has a number of advantages over the more traditional
w_p estimator, including (i) an insensitivity to large scale structures and the
details of the truncation of the line of sight integral, (ii) a compact kernel
in xi(r), and (iii) being unbinned. We discuss how this estimator would be used
in practice, applying it to a sample of mock galaxies selected from the
Millennium simulation.

Astrophysics