  In this paper we propose a new statistic capable of detecting non-Gaussianity
in the CMB. The statistic is defined in Fourier space, and therefore naturally
separates angular scales. It consists of taking another Fourier transform, in
angle, over the Fourier modes within a given ring of scales. Like other Fourier
space statistics, our statistic outdoes more conventional methods when faced
with combinations of Gaussian processes (be they noise or signal) and a
non-Gaussian signal which dominates only on some scales. However, unlike
previous efforts along these lines, our statistic is successful in recognizing
multiple non-Gaussian patterns in a single field. We discuss various
applications, in which the Gaussian component may be noise or primordial
signal, and the non-Gaussian component may be a cosmic string map, or some
geometrical construction mimicking, say, small scale dust maps.
