Dynamical dark energy implies a coupled dark sector: Insights from DESI DR2 via a data-driven approach

Recent observations from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 (DR2) have revealed compelling evidence for dynamical dark energy, challenging the $Λ$CDM paradigm. In this work, we adopt a data-driven, model-independent approach to reconstruct the dark energy equation of state (EoS) and its potential interaction with dark matter using combined background cosmological datasets, including DESI DR2, cosmic chronometers, observational Hubble data, and Type Ia supernovae. Using Gaussian Process regression and a non-parametric formalism, we first confirm a $\sim 2σ$ indication of dynamical dark energy, featuring a phantom crossing around redshift $z \sim 0.4$, consistent with DESI results. We then explore the implications of dynamical EoS from DESI DR2 for dark sector coupling. Incorporating priors on the EoS from DESI DR2, we find a $\sim 2σ$ signal for non-zero interactions between dark energy and dark matter at low redshift. Our results suggest that if DESI's evidence for time-varying dark energy is confirmed, a coupled dark sector may be a necessary extension beyond $Λ$CDM.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2025-07-14
DOI
https://doi.org/10.1103/f6v7-n9fr
Citations
20
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
49.62
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article

Dynamical dark energy implies a coupled dark sector: Insights from DESI DR2 via a data-driven approach

Tao Yang, Dan Wang, Karl J. Friston
20 citations
Physical review. D/Physical review. D.
Computational Physics and Python Applications
49.62
article

Dynamical dark energy implies a coupled dark sector: Insights from DESI DR2 via a data-driven approach

Tao Yang, Dan Wang, Karl J. Friston
article en
20 citations

Abstract

Recent observations from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 (DR2) have revealed compelling evidence for dynamical dark energy, challenging the $Λ$CDM paradigm. In this work, we adopt a data-driven, model-independent approach to reconstruct the dark energy equation of state (EoS) and its potential interaction with dark matter using combined background cosmological datasets, including DESI DR2, cosmic chronometers, observational Hubble data, and Type Ia supernovae. Using Gaussian Process regression and a non-parametric formalism, we first confirm a $\sim 2σ$ indication of dynamical dark energy, featuring a phantom crossing around redshift $z \sim 0.4$, consistent with DESI results. We then explore the implications of dynamical EoS from DESI DR2 for dark sector coupling. Incorporating priors on the EoS from DESI DR2, we find a $\sim 2σ$ signal for non-zero interactions between dark energy and dark matter at low redshift. Our results suggest that if DESI's evidence for time-varying dark energy is confirmed, a coupled dark sector may be a necessary extension beyond $Λ$CDM.

Physical review. D/Physical review. D.Vol. 112(4)
Wuhan University (CN)
Affordable and clean energy
Openalex Percentile: Top 0%
Computational Physics and Python Applications
49.62
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Dynamical dark energy implies a coupled dark sector: Insights from DESI DR2 via a data-driven approach — Tao Yang, Dan Wang, et al. · Physical review. D/Physical review. D. (2025) | TGRS Research Map | TGRS