Theoretical priors in scalar-tensor cosmologies: Shift-symmetric Horndeski models
Dina Traykova, Emilio Bellini, Pedro G. Ferreira, Carlos, Garc\'ia-Garc\'ia, Johannes Noller, Miguel Zumalac\'arregui

TL;DR
This paper derives narrower, theoretically motivated priors for shift-symmetric scalar-tensor cosmologies, improving constraints on dark energy models by linking phenomenological parameters to fundamental theory.
Contribution
It introduces a simple parametrisation of key functions in shift-symmetric theories and derives their statistical distributions, connecting phenomenological models with underlying Lagrangian theories.
Findings
Theoretical priors can tighten constraints on cosmological parameters by up to an order of magnitude.
Shift-symmetric models without a cosmological constant are consistent with current observations.
A two-parameter description effectively captures the evolution of key functions in these theories.
Abstract
Attempts at constraining theories of late time accelerated expansion often assume broad priors for the parameters in their phenomenological description. Focusing on shift-symmetric scalar-tensor theories with standard gravitational wave speed, we show how a more careful analysis of their dynamical evolution leads to much narrower priors. In doing so, we propose a simple and accurate parametrisation of these theories, capturing the redshift dependence of the equation of state, , and the kinetic braiding parameter, , with only two parameters each, and derive their statistical distribution (a.k.a. theoretical priors) that fit the cosmology of the underlying model. We have considered two versions of the shift-symmetric model, one where the energy density of dark energy is given solely by the scalar field, and another where it also has a contribution from the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
