Late universe dynamics with scale-independent linear couplings in the dark sector
Claudia Quercellini (1), Marco Bruni (2), Amedeo Balbi (1,3) and, Davide Pietrobon (1,2) ((1) Universita' di Roma Tor Vergata, (2) Institute of, Cosmology, Gravitation, University of Portsmouth, (3) INFN Sezione di Roma, Tor Vergata)

TL;DR
This paper investigates scale-independent linear couplings in dark sector cosmological models, analyzing their dynamics and observational constraints, and finds that certain coupling forms are favored by supernova data.
Contribution
It introduces a general linear coupling model with scale-independent dynamics and assesses observational constraints, highlighting the preference for specific coupling forms in dark energy models.
Findings
Constant coupling part is unconstrained by SN Ia data.
Linear coupling proportional to dark energy density is preferred in strong coupling regimes.
Phantom models favor positive coupling, non-phantom models allow negative or zero coupling.
Abstract
We explore the dynamics of cosmological models with two coupled dark components with energy densities and . We assume that the coupling is of the form , so that the dynamics of the two components turns out to be scale independent, i.e. does not depend explicitly on the Hubble scalar . With this assumption, we focus on the general linear coupling , which may be seen as arising from any at late time and leads in general to an effective cosmological constant. In the second part of the paper we consider observational constraints on the form of the coupling from SN Ia data, assuming that one of the components is cold dark matter. We find that the constant part of the coupling function is unconstrained by SN Ia data and, among typical linear coupling functions, the one proportional to the dark energy…
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.
