Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data
C. S\'anchez, J. Clampitt, A. Kovacs, B. Jain, J. Garc\'ia-Bellido, S., Nadathur, D. Gruen, N. Hamaus, D. Huterer, P. Vielzeuf, A. Amara, C. Bonnett,, J. DeRose, W. G. Hartley, M. Jarvis, O. Lahav, R. Miquel, E. Rozo, E. S., Rykoff, E. Sheldon, R. H. Wechsler, J. Zuntz

TL;DR
This paper introduces a new method for identifying cosmic voids in photometric surveys, validates it with simulations, and demonstrates its effectiveness through weak lensing measurements in DES-SV data, confirming the physical reality of the voids.
Contribution
The paper presents a novel void finder tailored for photometric surveys, validated with simulations, and applied to DES-SV data, enabling void lensing studies with photometric data.
Findings
Void finder accurately identifies voids in photometric data within 20% of spectroscopic results.
Weak lensing signal of voids detected at 4.4 sigma significance.
First demonstration of void lensing in photometric survey data.
Abstract
Galaxies and their dark matter halos populate a complicated filamentary network around large, nearly empty regions known as cosmic voids. Cosmic voids are usually identified in spectroscopic galaxy surveys, where 3D information about the large-scale structure of the Universe is available. Although an increasing amount of photometric data is being produced, its potential for void studies is limited since photometric redshifts induce line-of-sight position errors of Mpc/ or more that can render many voids undetectable. In this paper we present a new void finder designed for photometric surveys, validate it using simulations, and apply it to the high-quality photo- redMaGiC galaxy sample of the Dark Energy Survey Science Verification (DES-SV) data. The algorithm works by projecting galaxies into 2D slices and finding voids in the smoothed 2D galaxy density field of the…
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