TY - JOUR
T1 - Massive neutrinos leave fingerprints on cosmic voids
AU - Kreisch, Christina D.
AU - Pisani, Alice
AU - Carbone, Carmelita
AU - Liu, Jia
AU - Hawken, Adam J.
AU - Massara, Elena
AU - Spergel, David N.
AU - Wandelt, Benjamin D.
N1 - Funding Information:
We thank the anonymous referee for their helpful comments. We thank F. Villaescusa-Navarro and J. Bel for useful discussions and comments on the manuscript. CDK is supported by the National Science Foundation Graduate Research Fellowship under Grant DGE 1656466. AP and EM are supported by NASA grant 15-WFIRST15-0008 to the Wide Field Infrared Survey Telescope (WFIRST) Science Investigation Team ‘Cosmology with the High Latitude Survey’. The Dark Energy and Massive-Neutrino Universe (DEMNUni-I) simulations were carried out at the Tier-0 IBM BG/Q machine, Fermi, of the Centro Interuniversitario del Nord-Est per il Calcolo Elettronico (CINECA, Bologna, Italy), via the ve million cpu-hrs budget provided by the Italian SuperComputing Resource Allocation (ISCRA) to the class-A proposal entitled ‘The Dark Energy and Massive-Neutrino Universe’. CC acknowledges financial support from the European Research Council through the Darklight Advanced Research Grant (n. 291521). JL is supported by an National Science Foundation (NSF) Astronomy and Astrophysics Postdoctoral Fellowship under award AST-1602663. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by NSF grant ACI-1053575. The MassiveNuS simulations are publicly available at http://columbialensing.org through the Skies & Universes Project. This work has been done within the Labex ILP (reference ANR-10-LABX-63) part of the Idex SUPER, and received financial state aid
Funding Information:
managed by the Agence Nationale de la Recherche, as part of the programme Investissements d’avenir under the reference ANR-11-IDEX0004-02. The Flatiron Institute is supported by the Simons Foundation.
Publisher Copyright:
© The Author(s) 2019. Published by Oxford University Press on behalf of The Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
PY - 2019/9/21
Y1 - 2019/9/21
N2 - Do void statistics contain information beyond the tracer 2-point correlation function? Yes! As we vary the sum of the neutrino masses, we find void statistics contain information absent when using just tracer 2-point statistics. Massive neutrinos uniquely affect cosmic voids. We explore their impact on void clustering using both the DEMNUni and MassiveNuS simulations. For voids, neutrino effects depend on the observed void tracers. As the neutrino mass increases, the number of small voids traced by cold dark matter particles increases and the number of large voids decreases. Surprisingly, when massive, highly biased, haloes are used as tracers, we find the opposite effect. The scale at which voids cluster, as well as the void correlation, is similarly sensitive to the sum of neutrino masses and the tracers. This scale-dependent trend is not due to simulation volume or halo density. The interplay of these signatures in the void abundance and clustering leaves a distinct fingerprint that could be detected with observations and potentially help break degeneracies between different cosmological parameters. This paper paves the way to exploit cosmic voids in future surveys to constrain the mass of neutrinos.
AB - Do void statistics contain information beyond the tracer 2-point correlation function? Yes! As we vary the sum of the neutrino masses, we find void statistics contain information absent when using just tracer 2-point statistics. Massive neutrinos uniquely affect cosmic voids. We explore their impact on void clustering using both the DEMNUni and MassiveNuS simulations. For voids, neutrino effects depend on the observed void tracers. As the neutrino mass increases, the number of small voids traced by cold dark matter particles increases and the number of large voids decreases. Surprisingly, when massive, highly biased, haloes are used as tracers, we find the opposite effect. The scale at which voids cluster, as well as the void correlation, is similarly sensitive to the sum of neutrino masses and the tracers. This scale-dependent trend is not due to simulation volume or halo density. The interplay of these signatures in the void abundance and clustering leaves a distinct fingerprint that could be detected with observations and potentially help break degeneracies between different cosmological parameters. This paper paves the way to exploit cosmic voids in future surveys to constrain the mass of neutrinos.
KW - Cosmological parameters
KW - Cosmology: theory
KW - Large-scale structure of Universe
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U2 - 10.1093/mnras/stz1944
DO - 10.1093/mnras/stz1944
M3 - Article
AN - SCOPUS:85075240553
SN - 0035-8711
VL - 488
SP - 4413
EP - 4426
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 3
ER -