@Article{BonillaKumaNunePan:2022:MoInFo,
author = "Bonilla, Alexander and Kumar, Suresh and Nunes, Rafael da Costa
and Pan, Supriya",
affiliation = "{Universidade Federal de Juiz de Fora (UFJF)} and {Indira Gandhi
University} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Presidency University}",
title = "Reconstruction of the dark sectors' interaction: A
model-independent inference and forecast from GW standard sirens",
journal = "Monthly Notices of the Royal Astronomical Society",
year = "2022",
volume = "512",
number = "3",
pages = "4231--4238",
month = "Apr.",
keywords = "dark energy, dark matter, observations, cosmological parameters.",
abstract = "Interacting dark matter (DM) - dark energy (DE) models have been
intensively investigated in the literature for their ability to
fit various data sets as well as to explain some observational
tensions persisting within the ?CDM cosmology. In this work, we
employ the Gaussian processes (GP) algorithm to perform a joint
analysis by using the geometrical cosmological probes such as
Cosmic chronometers, Supernova Type Ia, Baryon Acoustic
Oscillations, and the H0LiCOW lenses sample to infer a
reconstruction of the coupling function between the dark
components in a general framework, where the DE can assume a
dynamical character via its equation of state. In addition to the
joint analysis with these data, we simulate a catalog with
standard siren events from binary neutron star mergers, within the
sensitivity predicted by the Einstein Telescope, to reconstruct
the dark sector coupling with more accuracy in a robust way. We
find that the particular case, where w = -1 is fixed on the DE
nature, has a statistical preference for an interaction in the
dark sector at late times. In the general case, where w(z) is
analyzed, we find no evidence for such dark coupling, and the
predictions are compatible with the ?CDM paradigm. When the mock
events of the standard sirens are considered to improve the kernel
in GP predictions, we find a preference for an interaction in the
dark sector at late times.",
doi = "10.1093/mnras/stac687",
url = "http://dx.doi.org/10.1093/mnras/stac687",
issn = "0035-8711 and 1365-2966",
language = "en",
targetfile = "stac687.pdf",
urlaccessdate = "25 jun. 2024"
}