TL;DR
This paper introduces a multi-fluid perturbation theory to model cosmic neutrinos as fluids with diverse velocities, improving predictions of their clustering and aiding local neutrino detection efforts.
Contribution
It develops a novel multi-fluid approach for neutrino perturbations that aligns with existing linear response models and reveals significant clustering of slow-moving neutrinos.
Findings
Multi-fluid model matches linear response calculations for power spectrum and bispectrum.
Neutrino power on small scales is enhanced by an order of magnitude over linear predictions.
Slowest 25% of neutrinos cluster strongly, affecting local neutrino density estimates.
Abstract
A significant challenge for modelling the massive neutrino as a hot dark matter is its large velocity dispersion. In this work, we investigate and implement a multi-fluid perturbation theory that treats the cosmic neutrino population as a collection of fluids with a broad range of bulk velocities. These fluids respond linearly to the clustering of cold matter, which may be linear and described by standard linear perturbation theory, or non-linear, described using either higher-order perturbation theory or N-body simulations. We verify that such an alternative treatment of neutrino perturbations agrees closely with state-of-the-art neutrino linear response calculations in terms of power spectrum and bispectrum predictions. Combining multi-fluid neutrino linear response with a non-linear calculation for the cold matter clustering, we find for a reference nuLambdaCDM cosmology with…
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