Optimal estimator for the amplitude of the bispectrum from IR sources
  We devise a fast and optimal estimator for the amplitude of the bispectrum of
clustered Infrared (IR) point-sources. We show how this estimator can account
for the cases of partial sky coverage and inhomogeneous noise. Expected
detection significance are presented in terms of signal-to-noise, finding that
the IR bispectrum will realistically be undetectable below 220 GHz with a
Planck-like experiment; on the contrary detection may be achieved at, or above,
220 GHz especially if the CMB is removed. We also show how this estimator can
be combined with estimators of radio and CMB non-Gaussianity to build up joint
robust constraints. On the one hand, we find that, for a Planck-like
experiment, CMB non-Gaussianity estimation can be decoupled from point-source
contributions, unless few sources are masked. On the other hand, we find that
the estimation of radio and IR non-Gaussianity are strongly coupled, which
diminishes their separate detection significance.
