Precision reconstruction of the dark matter-neutrino relative velocity from N-body simulations
Derek Inman, J.D. Emberson, Ue-Li Pen, Alban Farchi, Hao-Ran Yu,, Joachim Harnois-Deraps

TL;DR
This paper demonstrates that the relative velocity between dark matter and neutrinos can be accurately reconstructed from large-scale structure data using simulations and linear theory, aiding neutrino mass measurements.
Contribution
It introduces a method to reconstruct the dark matter-neutrino relative velocity from halo density fields with high correlation to simulations, accounting for non-linear effects.
Findings
Reconstructed velocities are highly correlated with simulated ones (coefficients > 0.88).
Linear theory overpredicts dark matter velocity power spectrum and underpredicts neutrino velocity spectrum.
Reconstruction accuracy is sufficient for directional and scaled magnitude estimates.
Abstract
Discovering the mass of neutrinos is a principle goal in high energy physics and cosmology. In addition to cosmological measurements based on two-point statistics, the neutrino mass can also be estimated by observations of neutrino wakes resulting from the relative motion between dark matter and neutrinos. Such a detection relies on an accurate reconstruction of the dark matter-neutrino relative velocity which is affected by non-linear structure growth and galaxy bias. We investigate our ability to reconstruct this relative velocity using large N-body simulations where we evolve neutrinos as distinct particles alongside the dark matter. We find that the dark matter velocity power spectrum is overpredicted by linear theory whereas the neutrino velocity power spectrum is underpredicted. The magnitude of the relative velocity observed in the simulations is found to be lower than what is…
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