  Experimental aeroacoustics is concerned with the estimation of acoustic
source power distributions, which are for instance caused by fluid structure
interactions on scaled aircraft models inside a wind tunnel, from microphone
array measurements of associated sound pressure fluctuations. In the frequency
domain aeroacoustic sound propagation can be modelled as a random source
problem for a convected Helmholtz equation. This article is concerned with the
inverse random source problem to recover the support of an uncorrelated
aeroacoustic source from correlations of observed pressure signals. We show
that a variant of the factorization method from inverse scattering theory can
be used for this purpose. We also discuss a surprising relation between the
factorization method and a commonly used beamforming algorithm from
experimental aeroacoustics, which is known as Capon's method or as the minimum
variance method. Numerical examples illustrate our theoretical findings.
