A cosmological case study of a tower of warm dark matter states: $N$naturalness

TL;DR

This paper investigates how a tower of warm dark matter states in the $N$naturalness model affects cosmic microwave background and large-scale structure, providing constraints from current cosmological data and exploring the model's parameter space.

Contribution

It introduces a detailed analysis of the cosmological impacts of multiple warm dark matter states in the $N$naturalness framework, including new constraints from Planck, lensing, and Lyman-alpha data.

Findings

Planck and lensing data constrain the model at 5-10% tuning.

Multiple warm dark matter states cause a gradual suppression of the matter power spectrum.

The model's parameters are tightly constrained by small-scale power spectrum suppression.

Abstract

In this work, we study the cosmological effects of a tower of warm dark matter states on the cosmic microwave background (CMB) and on large-scale structure (LSS). For concreteness, we consider the $N$naturalness model, which is a proposed mechanism to solve the Higgs hierarchy problem. In this framework, the sector of particles of the Standard Model is copied $N$ times where the Higgs mass-squared value is the only parameter that changes between sectors. The other sectors are similar to our own, except their particles are proportionally heavier and cooler compared to the Standard Model sector. Since each sector is extremely weakly coupled to other sectors, direct observations of the new particles are not expected. The addition of new photon-like species and new neutrino-like species, however, can be detected through the CMB and in LSS data. These additional neutrinos form a tower of states with increasing mass and decreasing temperature compared to the SM neutrinos. This tower causes a more gradual suppression of the matter power spectrum across different comoving wavenumbers than a single warm dark matter state would. We quantitatively explore these effects in the $N$naturalness model and compute the parameter space allowed by the Planck 2018, weak lensing, and Lyman-$\alpha$ datasets. Depending on the underlying parameters, Planck 2018 and weak lensing data can require $N$naturalness to be tuned at the $10\%$ level for Dirac neutrinos and at the $5\%$ level for Majorana neutrinos. The additional neutrino states are crucial in constraining the model, particularly through their suppression of the power spectrum at small scales. The inclusion of many warm dark matter species is computationally very challenging and we make detailed assessments of our approximations and comment on potential future improvements.