Lensing voids with peak statistics in massive neutrino cosmologies

Cosmic voids are under-dense regions of the Mpc scale Universe and fundamental components of the Cosmic Web, that describes the spatial distribution of matter on large-scales. In this work we present for the first time in literature the analysis of cosmic voids obtained combining the set of DEMNUni cosmological simulations and the lensing maps obtained via direct ray-tracing across their dark matter distribution, with a 2D tunnel void finding algorithm that identifies voids in lensing convergence maps. We use the peak statistics for the identification of lensing voids: peaks of the convergence field trace voids in this work. We analyze the properties of cosmic voids from lensing convergence maps in two cosmologies: the first one with massless neutrinos and the second one with massive neutrinos (the sum of the masses of the three active species is fixed a Mnu=0.16 eV). We study the properties of lensing voids in these two cosmologies for three probes: CMB-lensing, weak lensing with sources located at z=2, and weak lensing with Euclid photometric redshift distribution of the sources. Furthermore we analyse their evolution with redshift, considering partial CMB-lensing maps in different redshift ranges.