Probing CMB Non-Gaussianity Using Local Curvature

Abstract

It is possible to classify pixels of a smoothed cosmic microwave background (CMB) fluctuation map according to their local curvature in ``hill'', ``lake'' and ``saddle'' regions. In the Gaussian case, fractional areas occupied by pixels of each kind can be computed analytically for families of excursion sets as functions of threshold and moments of the fluctuation power spectrum. We show how the shape of these functions can be used to constrain accurately the level of non-Gaussianity in the data by applying these new statistics to an hypothetical mixed model suggested by Bouchet et al. (2001). According to our simple test, with only one 12.5x12.5 deg^2 map, Planck should be able to detect with a high significance a non-Gaussian level as weak as 10% in temperature standard deviation (rms) (5% in C_l), whereas a marginal detection would be possible for MAP with a non-Gaussian level around 30% in temperature (15% in C_l).