Efficient analytic approximation for small-scale non-cold relic perturbations
Nanoom Lee, Yacine Ali-Haïmoud, Marc Kamionkowski
TL;DR
The paper addresses the computational bottleneck in modeling non-cold relic perturbations by deriving a fully analytic small-scale quasi-stationary approximation to the collisionless Boltzmann equation and implementing it in CLASSIER. This approach yields runtime reductions of roughly a factor of two to six compared with existing methods, while preserving high accuracy in observables. It demonstrates sub-0.1% accuracy in the present-day matter power spectrum up to k around 100 Mpc^-1 across several neutrino masses. The method provides a practical path to faster, high-precision cosmological analyses and can be extended to non-standard dark-matter models.
Abstract
We develop a highly accurate analytic approximation for small-scale non-cold relic perturbations by solving the collisionless Boltzmann equation in the quasi-stationary regime. The approximation is implemented in CLASSIER (CLASS Integral Equation Revision), a modified version of the Boltzmann solver CLASS that replaces the traditional truncated Boltzmann hierarchy of non-cold relic multipoles with a small set of integral equations solved iteratively. Applying it to massive neutrinos yields a factor-of-two reduction in total runtime relative to CLASSIER without the approximation. Compared to standard CLASS runs (with $\ell_{\rm max}^{\rm NCDM}=40$ and no late-time massive neutrino fluid approximation) under the same precision setting, CLASSIER with this approximation is faster by a factor of 3-6. The approximation faithfully reproduces the late-time behavior of massive neutrino perturbations and preserves sub-$0.1\%$ accuracy in the matter power spectrum today up to comoving wavenumber $k=100\,{\rm Mpc}^{-1}$. With this approximation, massive-neutrino perturbations are no longer the computational bottleneck on small scales for linear-theory predictions. The approach can be readily extendable to non-standard dark-matter models, and offers prospects for further efficiency gains in high-precision cosmological analyses.
