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arXiv · 1409.7621

Modeling cosmic void statistics

Nico Hamaus·P. M. Sutter·Benjamin D. Wandelt
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Abstract

Understanding the internal structure and spatial distribution of cosmic voids is crucial when considering them as probes of cosmology. We present recent advances in modeling void density- and velocity-profiles in real space, as well as void two-point statistics in redshift space, by examining voids identified via the watershed transform in state-of-the-art $\Lambda$CDM n-body simulations and mock galaxy catalogs. The simple and universal characteristics that emerge from these statistics indicate the self-similarity of large-scale structure and suggest cosmic voids to be among the most pristine objects to consider for future studies on the nature of dark energy, dark matter and modified gravity.

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Nico Hamaus, P. M. Sutter, Benjamin D. Wandelt. 2014-09-26. Modeling cosmic void statistics. https://arxiv.org/abs/1409.7621

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