Canny Algorithm: A New Estimator for Primordial Non-Gaussianities
  We utilize the Canny edge detection algorithm as an estimator for primordial non-Gaussianities. In preliminary tests on simulated sky patches with a window size of 57 degrees and multipole moments $l$ up to 1024, we find a $3\sigma$ distinction between maps with local non-Gaussianity $f_{NL}=350$ (or $f_{NL}=-700$) and Gaussian maps. We present evidence that high resolution CMB studies will strongly enhance the sensitivity of the Canny algorithm to non-Gaussianity, making it a promising technique to estimate primordial non-Gaussianity. 
Rebecca J. Danos (McGill University and U. of Manitoba), Andrew R.   Frey (U. of Winnipeg), and Yi Wang (McGill University)
astro-ph.CO hep-ph hep-th