Hiding neutrino mass in modified gravity cosmologies
Nicola Bellomo, Emilio Bellini, Bin Hu, Raul Jimenez, Carlos Pena-Garay, Licia Verde
TL;DR
The paper analyzes how neutrino mass signals can be mimicked by Horndeski modified gravity in the linear regime using an EFT parameterization that includes the braiding scale $k_B$ and time-dependent functions $\alpha_K,\alpha_B,\alpha_M,\alpha_T$. It shows that a single parameter, primarily the braiding term $\alpha_B$, dominates the degeneracy with the total neutrino mass $\sum m_\nu$, and that a tuned $\alpha_B$ can nearly cancel the neutrino-induced power suppression at a given redshift; this cancellation depends on redshift and dataset, with Euclid-like forecasts able to partly lift the degeneracy. The study highlights the roles of $\alpha_K$ and the braiding scale in shaping the power spectrum and demonstrates that incorporating expansion-history information via Full $P(k)$ is crucial to constrain neutrino masses in MG contexts. Overall, the work provides a principled framework to quantify and potentially break the neutrino–gravity degeneracy in near-future cosmological surveys.
Abstract
Cosmological observables show a dependence with the neutrino mass, which is partially degenerate with parameters of extended models of gravity. We study and explore this degeneracy in Horndeski generalized scalar-tensor theories of gravity. Using forecasted cosmic microwave background and galaxy power spectrum datasets, we find that a single parameter in the linear regime of the effective theory dominates the correlation with the total neutrino mass. For any given mass, a particular value of this parameter approximately cancels the power suppression due to the neutrino mass at a given redshift. The extent of the cancellation of this degeneracy depends on the cosmological large-scale structure data used at different redshifts. We constrain the parameters and functions of the effective gravity theory and determine the influence of gravity on the determination of the neutrino mass from present and future surveys.
