Non-Gaussianity from Features
  The strongest non-Gaussianity in single-scalar potential models of inflation
is associated with features in the power spectrum. We stress the importance of
accurately modelling the expected signal in order for the standard estimator to
minimize contamination by random noise. We present explicit formulae which
improve on the approximation introduced by Adshead, Hu, Dvorkin and Peiris. We
also compare with a simple, analytic model of the first feature, and quantify
our results using the correlators of Hung, Fergusson and Shellard.
