Cosmic voids and void lensing in the Dark Energy Survey Science Verification data Academic Article uri icon


  • 2016 The Authors. 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 50 Mpc h-1which can render many voids undetectable.We present a new void finder designed for photometric surveys, validate it using simulations, and apply it to the high-quality photo-z redMaGiC galaxy sample of the DES Science Verification data. The algorithm works by projecting galaxies into 2D slices and finding voids in the smoothed 2D galaxy density field of the slice. Fixing the line-of-sight size of the slices to be at least twice the photo-z scatter, the number of voids found in simulated spectroscopic and photometric galaxy catalogues is within 20 per cent for all transverse void sizes, and indistinguishable for the largest voids (R 70 Mpc h-1). The positions, radii, and projected galaxy profiles of photometric voids also accurately match the spectroscopic void sample. Applying the algorithm to the DES-SV data in the redshift range 0.2 < z < 0.8, we identify 87 voids with comoving radii spanning the range 18-120 Mpc h-1, and carry out a stacked weak lensing measurement. With a significance of 4.4, the lensing measurement confirms that the voids are truly underdense in the matter field and hence not a product of Poisson noise, tracer density effects or systematics in the data. It also demonstrates, for the first time in real data, the viability of void lensing studies in photometric surveys.

published proceedings


altmetric score

  • 11.18

author list (cited authors)

  • Sanchez, C., Clampitt, J., Kovacs, A., Jain, B., Garcia-Bellido, J., Nadathur, S., ... Weller, J.

citation count

  • 71

complete list of authors

  • Sánchez, C||Clampitt, J||Kovacs, A||Jain, B||García-Bellido, J||Nadathur, S||Gruen, D||Hamaus, N||Huterer, D||Vielzeuf, P||Amara, A||Bonnett, C||DeRose, J||Hartley, WG||Jarvis, M||Lahav, O||Miquel, R||Rozo, E||Rykoff, ES||Sheldon, E||Wechsler, RH||Zuntz, J||Abbott, TMC||Abdalla, FB||Annis, J||Benoit-Lévy, A||Bernstein, GM||Bernstein, RA||Bertin, E||Brooks, D||Buckley-Geer, E||Rosell, A Carnero||Kind, M Carrasco||Carretero, J||Crocce, M||Cunha, CE||D'Andrea, CB||da Costa, LN||Desai, S||Diehl, HT||Dietrich, JP||Doel, P||Evrard, AE||Neto, A Fausti||Flaugher, B||Fosalba, P||Frieman, J||Gaztanaga, E||Gruendl, RA||Gutierrez, G||Honscheid, K||James, DJ||Krause, E||Kuehn, K||Lima, M||Maia, MAG||Marshall, JL||Melchior, P||Plazas, AA||Reil, K||Romer, AK||Sanchez, E||Schubnell, M||Sevilla-Noarbe, I||Smith, RC||Soares-Santos, M||Sobreira, F||Suchyta, E||Tarle, G||Thomas, D||Walker, AR||Weller, J

publication date

  • October 2017