Observational challenges to holographic and Ricci dark energy paradigms: Insights from ACT DR6 and DESI DR2*

Abstract Recent studies suggest that dark energy may be dynamical rather than a mere cosmological constant Λ. In this work, we examine the viability of two physically well-motivated dynamical dark energy models—holographic dark energy (HDE) and Ricci dark energy (RDE)—by validating them with the latest observational data, including ACT cosmic microwave background anisotropies, DESI baryon acoustic oscillations, and DESY5 supernovae. Our analysis reveals a fundamental tension between early- and late-universe constraints within both frameworks: ACT favors a quintom scenario where the dark energy equation of state evolves from at early times to at late times, whereas DESI+DESY5 exhibits a distinct preference for quintessence where across cosmic evolution. The RDE model fails to provide a coherent description of cosmic evolution, as it manifests severe tensions (exceeding significance) between early- and late-universe parameter reconstructions. Additionally, Bayesian evidence favors the ΛCDM model over both the aforementioned models. Our findings statistically exclude the original HDE and RDE models and uncover a severe discrepancy between early- and late-universe observations described by them, leading to the conclusion that the HDE and RDE models can be rejected based on current observational data.

Authors

Institutions

Publication Details

Journal
Chinese Physics C
Published
2026-01-22
DOI
https://doi.org/10.1088/1674-1137/ae3be2
Citations
3
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
71.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Observational challenges to holographic and Ricci dark energy paradigms: Insights from ACT DR6 and DESI DR2*

Tian-Nuo Li, Peng-Ju Wu, Xin Zhang, Guohong Du
3 citations
Chinese Physics C
Cosmology and Gravitation Theories
71.48
article

Observational challenges to holographic and Ricci dark energy paradigms: Insights from ACT DR6 and DESI DR2*

Tian-Nuo Li, Peng-Ju Wu, Xin Zhang, Guohong Du
article en
3 citations

Abstract

Abstract Recent studies suggest that dark energy may be dynamical rather than a mere cosmological constant Λ. In this work, we examine the viability of two physically well-motivated dynamical dark energy models—holographic dark energy (HDE) and Ricci dark energy (RDE)—by validating them with the latest observational data, including ACT cosmic microwave background anisotropies, DESI baryon acoustic oscillations, and DESY5 supernovae. Our analysis reveals a fundamental tension between early- and late-universe constraints within both frameworks: ACT favors a quintom scenario where the dark energy equation of state evolves from at early times to at late times, whereas DESI+DESY5 exhibits a distinct preference for quintessence where across cosmic evolution. The RDE model fails to provide a coherent description of cosmic evolution, as it manifests severe tensions (exceeding significance) between early- and late-universe parameter reconstructions. Additionally, Bayesian evidence favors the ΛCDM model over both the aforementioned models. Our findings statistically exclude the original HDE and RDE models and uncover a severe discrepancy between early- and late-universe observations described by them, leading to the conclusion that the HDE and RDE models can be rejected based on current observational data.

Chinese Physics CVol. 50(4)
Ningxia University (CN), Northeastern University (CN)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project
Openalex Percentile: Top 0%
Cosmology and Gravitation Theories
71.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.