Slow neutrinos: non-linearity and momentum-space emulation

ABSTRACT Recent cosmological bounds on the sum of neutrino masses, $M_\nu =\sum m_\nu$, are in tension with laboratory oscillation experiments, making cosmological tests of neutrino free-streaming imperative. In order to study the scale-dependent clustering of massive neutrinos, we develop a fast linear response method, fast-$\nu f$, applicable to neutrinos and other non-relativistic hot dark matter. Using it as an accurate linear approximation to help us reduce the dynamic range of emulator training data, based upon a non-linear perturbation theory for massive neutrinos, we improve the emulator’s accuracy at small $M_\nu$ and length scales by a factor of 2. We significantly sharpen its momentum resolution for the slowest neutrinos, which, despite their small mass fraction, dominate small-scale clustering. Furthermore, we extend the emulator from the degenerate to the normal and inverted mass orderings. Applying this new emulator, Cosmic-E$\nu$-II, to large haloes in N-body simulations, we show that non-linear perturbation theory can reproduce the neutrino density profile in the halo outskirts, $2R_{\rm v}\lesssim r \lesssim 10R_{\rm v}$, to better than $10{{\ \rm per\ cent}}$.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2026-02-25
DOI
https://doi.org/10.1093/mnras/stag382
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Slow neutrinos: non-linearity and momentum-space emulation

Amol Upadhye, Yin Li
Monthly Notices of the Royal Astronomical Society
Particle physics theoretical and experimental studies
article

Slow neutrinos: non-linearity and momentum-space emulation

Amol Upadhye, Yin Li
article en

Abstract

ABSTRACT Recent cosmological bounds on the sum of neutrino masses, $M_\nu =\sum m_\nu$, are in tension with laboratory oscillation experiments, making cosmological tests of neutrino free-streaming imperative. In order to study the scale-dependent clustering of massive neutrinos, we develop a fast linear response method, fast-$\nu f$, applicable to neutrinos and other non-relativistic hot dark matter. Using it as an accurate linear approximation to help us reduce the dynamic range of emulator training data, based upon a non-linear perturbation theory for massive neutrinos, we improve the emulator’s accuracy at small $M_\nu$ and length scales by a factor of 2. We significantly sharpen its momentum resolution for the slowest neutrinos, which, despite their small mass fraction, dominate small-scale clustering. Furthermore, we extend the emulator from the degenerate to the normal and inverted mass orderings. Applying this new emulator, Cosmic-E$\nu$-II, to large haloes in N-body simulations, we show that non-linear perturbation theory can reproduce the neutrino density profile in the halo outskirts, $2R_{\rm v}\lesssim r \lesssim 10R_{\rm v}$, to better than $10{{\ \rm per\ cent}}$.

Monthly Notices of the Royal Astronomical SocietyVol. 547(3)
Yunnan University (CN), Peng Cheng Laboratory (CN)
Peng Cheng Laboratory, National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 97%
Particle physics theoretical and experimental studies
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