Robust New Statistic for fitting the Baryon Acoustic Feature
  We investigate the utility and robustness of a new statistic,
$\omega_{\ell}\left(r_{c}\right)$, for analyzing Baryon Acoustic Oscillations
(BAO). We apply $\omega_{\ell}\left(r_{c}\right)$, introduced in Xu et al.
(2010), to mocks and data from the Sloan Digital Sky Survey (SDSS)-III Baryon
Oscillation Spectroscopic Survey (BOSS) included in the SDSS Data Release
Eleven (DR11). We fit the anisotropic clustering using the monopole and
quadrupole of the $\omega_{\ell}\left(r_{c}\right)$ statistic in a manner
similar to conventional multipole fitting methods using the correlation
function as detailed in (Xu et al. 2012). To test the performance of the
$\omega_{\ell}\left(r_{c}\right)$ statistic we compare our results to those
obtained using the multipoles. The results are in agreement. We also conduct a
brief investigation into some of the possible advantages of using the
$\omega_{\ell}\left(r_{c}\right)$ statistic for BAO analysis. The
$\omega_{\ell}\left(r_{c}\right)$ analysis matches the stability of the
multipoles analysis in response to artificially introduced distortions in the
data, without using extra nuisance parameters to improve the fit. When applied
to data with systematics, the $\omega_{\ell}\left(r_{c}\right)$ statistic again
matches the performance of fitting the multipoles without using nuisance
parameters. In all the analyzed circumstances, we find that fitting the
$\omega_{\ell}\left(r_{c}\right)$ statistic removes the requirement for extra
nuisance parameters.
