Reconstruction of the dark sectors' interaction: A model-independent inference and forecast from GW standard sirens
Alexander Bonilla, Suresh Kumar, Rafael C. Nunes, Supriya Pan

TL;DR
This study uses Gaussian processes to reconstruct the interaction between dark matter and dark energy from cosmological data and simulated gravitational wave events, finding potential late-time dark sector interactions.
Contribution
It introduces a model-independent, data-driven approach combining multiple cosmological probes and gravitational wave simulations to infer dark sector interactions.
Findings
Late-time dark sector interaction preference with fixed w=-1
No evidence for interaction when w(z) is free
Improved predictions with standard siren data
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 catalogue with standard siren events from binary neutron star mergers, within the sensitivity predicted by the Einstein Telescope, to reconstruct the dark sector…
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