Point Source Detection and False Discovery Rate Control on CMB Maps
  We discuss a new procedure to search for point sources in Cosmic Microwave
background maps; in particular, we aim at controlling the so-called False
Discovery Rate, which is defined as the expected value of false discoveries
among pixels which are labelled as contaminated by point sources. We exploit a
procedure called STEM, which is based on the following four steps: 1) needlet
filtering of the observed CMB maps, to improve the signal to noise ratio; 2)
selection of candidate peaks, i.e., the local maxima of filtered maps; 3)
computation of \emph{p-}values for local maxima; 4) implementation of the
multiple testing procedure, by means of the so-called Benjamini-Hochberg
method. Our procedures are also implemented on the latest release of Planck CMB
maps.
