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Universal void density profiles from simulation and SDSS

Published online by Cambridge University Press:  12 October 2016

S. Nadathur,
S. Hotchkiss,
J. M. Diego,
I. T. Iliev,
S. Gottlöber,
W. A. Watson and
G. Yepes
S. Nadathur
Affiliation:
Department of Physics, University of Helsinki and Helsinki Institute of Physics, P.O. Box 64, FIN-00014, University of Helsinki, Finland
S. Hotchkiss
Affiliation:
Department of Physics and Astronomy, University of Sussex, Falmer, Brighton, BN1 9QH, UK
J. M. Diego
Affiliation:
IFCA, Instituto de Fisica de Cantabria (UC-CSIC), Avda Los Castros s/n. E-39005 Santander, Spain
I. T. Iliev
Affiliation:
Department of Physics and Astronomy, University of Sussex, Falmer, Brighton, BN1 9QH, UK
S. Gottlöber
Affiliation:
Leibniz-Institute for Astrophysics, An der Sternwarte 16, D-14482 Potsdam, Germany
W. A. Watson
Affiliation:
Department of Physics and Astronomy, University of Sussex, Falmer, Brighton, BN1 9QH, UK
G. Yepes
Affiliation:
Departamento de Física Teórica, Modulo C-XI, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Cantoblanco, Madrid, Spain
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Abstract

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We discuss the universality and self-similarity of void density profiles, for voids in realistic mock luminous red galaxy (LRG) catalogues from the Jubilee simulation, as well as in void catalogues constructed from the SDSS LRG and Main Galaxy samples. Voids are identified using a modified version of the ZOBOV watershed transform algorithm, with additional selection cuts. We find that voids in simulation are self-similar, meaning that their average rescaled profile does not depend on the void size, or – within the range of the simulated catalogue – on the redshift. Comparison of the profiles obtained from simulated and real voids shows an excellent match. The profiles of real voids also show a universal behaviour over a wide range of galaxy luminosities, number densities and redshifts. This points to a fundamental property of the voids found by the watershed algorithm, which can be exploited in future studies of voids.

Keywords

catalogues – cosmology: observations – large-scale structure of Universe – methods: numerical – methods: data analysis

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