Resolving Cosmic Neutrino Structure: A Hybrid Neutrino N-body Scheme
Jacob Brandbyge, Steen Hannestad
TL;DR
This work introduces a hybrid grid- and N-body neutrino simulation framework that resolves non-linear neutrino clustering on Mpc scales. By sampling neutrinos in 15 momentum bins and converting selected bins from a linear grid to N-body particles at an optimally chosen redshift, the method preserves momentum-dependent transfer functions while suppressing noise and enabling non-linear structure formation to be captured efficiently. The approach reproduces the non-linear total matter power spectrum with high accuracy (≈0.2% for the matter power at k ≲ 1 h Mpc^{-1} and 2–4% for neutrinos at the same scales) and demonstrates effective control of leakage across momentum boundaries by converting multiple bins simultaneously. This hybrid scheme significantly reduces computational demands compared to full particle-based neutrino simulations and enables probing of small-scale neutrino features within halos, with plans to extend to sub-Mpc scales in follow-up work.
Abstract
We present the first simulation capable of resolving the structure of neutrino clustering on Mpc scales. The method combines grid- and particle-based methods and achieves very good accuracy on both small and large scales, while keeping CPU consumption under control. Such simulations are not only ideal for calculating the non-linear matter power spectrum but also particularly relevant for studies of how neutrinos cluster in galaxy- or cluster-sized halos. We perform the largest neutrino N-body simulation to date, effectively containing 10 different neutrino hot dark matter components with different thermal properties.
