Weak lensing by voids in weak lensing maps
  Cosmic voids are an important probe of large-scale structure that can
constrain cosmological parameters and test cosmological models. We present a
new paradigm for void studies: void detection in weak lensing convergence maps.
This approach identifies objects that relate directly to our theoretical
understanding of voids as underdensities in the total matter field and presents
several advantages compared to the customary method of finding voids in the
galaxy distribution. We exemplify this approach by identifying voids using the
weak lensing peaks as tracers of the large-scale structure. We find
self-similarity in the void abundance across a range of peak signal-to-noise
selection thresholds. The voids obtained via this approach give a tangential
shear signal up to $\sim40$ times larger than voids identified in the galaxy
distribution.
