Significance of void shape: Neutrino mass from Voronoi void halos?

Abstract

Massive neutrinos suppress the growth of cosmic structure on nonlinear scales, motivating the use of information beyond the power spectrum to tighten constraints on the neutrino mass, for example by considering cosmic voids. It was recently proposed that constraints on neutrino mass from the halo mass function (HMF) can be improved by considering only the halos that reside within voids -- the void-halo mass function (VHMF). We extend this analysis, which made spherical assumptions about the shape of voids, to take into account the non-spherical nature of voids as defined by the Voronoi-tessellation-based void finder, VIDE. In turn, after accounting for one spurious non-spherical void, we find no evidence that the VHMF contains information beyond the HMF. Given this finding, we then introduce a novel summary statistic by splitting halos according to the emptiness of their individual environments, defined by the Voronoi cell volume each halo resides in, and combining the mass functions from each split. We name the corresponding statistic the VorHMF and find that it could provide information regarding neutrino mass beyond the HMF. Our work thus motivates the importance of accounting for the full shape of voids in future analyses, both in terms of removing outliers to achieve robust results and as an additional source of cosmological information.

arXiv comment8 pages, 5 figures, published as letter in PRD

References in corpus (38)

• The cosmological simulation code GADGET-2
• The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores
• Extragalactic Science, Cosmology and Galactic Archaeology with the Subaru Prime Focus Spectrograph (PFS)
• ZOBOV: a parameter-free void-finding algorithm
• The Quijote simulations
• Constraints on Cosmology and Gravity from the Dynamics of Voids
• The darkness that shaped the void: dark energy and cosmic voids
• A public void catalog from the SDSS DR7 Galaxy Redshift Surveys based on the watershed transform
• An efficient implementation of massive neutrinos in non-linear structure formation simulations
• Precision cosmology with voids: definition, methods, dynamics
• Voids in massive neutrino cosmologies
• Massive Neutrinos Leave Fingerprints on Cosmic Voids
• MassiveNuS: Cosmological Massive Neutrino Simulations
• Sparse sampling, galaxy bias, and voids
• The imprint of neutrinos on clustering in redshift-space
• Detecting Neutrino Mass by Combining Matter Clustering, Halos, and Voids
• The bias of cosmic voids in the presence of massive neutrinos
• The GIGANTES dataset: precision cosmology from voids in the machine learning era
• A Cosmic Void Catalog of SDSS DR12 BOSS Galaxies
• Multipole analysis of redshift-space distortions around cosmic voids
• An Efficient and Accurate Hybrid Method for Simulating Non-Linear Neutrino Structure
• The nature of voids: I. Watershed void finders and their connection with theoretical models
• Euclid: Cosmological forecasts from the void size function
• Reducing Noise in Cosmological N-body Simulations with Neutrinos
• Properties of simulated galaxies and supermassive black holes in cosmic voids
• The nature of voids: II. Tracing underdensities with biased galaxies
• Cosmological constraints from the BOSS DR12 void size function
• Robust Field-level Likelihood-free Inference with Galaxies
• A fast particle-mesh simulation of non-linear cosmological structure formation with massive neutrinos
• The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
• Aemulus $\nu$: Precise Predictions for Matter and Biased Tracer Power Spectra in the Presence of Neutrinos
• Beware of Fake $\nu$s: The Effect of Massive Neutrinos on the Nonlinear Evolution of Cosmic Structure
• Cosmological exploitation of cosmic void statistics - New numerical tools in the CosmoBolognaLib to extract cosmological constraints from the void size function
• DEMNUni: disentangling dark energy from massive neutrinos with the void size function
• The void halo mass function: a promising probe of neutrino mass
• Machine-learning cosmology from void properties
• Improving initialization and evolution accuracy of cosmological neutrino simulations
• Position-dependent Voronoi probability distribution functions for matter and halos

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