https://doi.org/10.1140/epjc/s10052-025-14716-7
Regular Article - Theoretical Physics
Revisiting the constraints on interacting holographic dark energy models with current observational data
1
Department of Physics, Anhui Normal University, 241000, Wuhu, Anhui, China
2
School of Electrical and Electronic Engineering, Anhui Science and Technology University, 233030, Bengbu, Anhui, China
3
Department of Physics, Key Laboratory of Intelligent Sensors and Advanced Sensor Materials, Hunan University of Science and Technology, 411201, Xiangtan, Hunan, China
a
xub@ahstu.edu.cn
b
ktzhang@ahnu.edu.cn
Received:
17
April
2025
Accepted:
30
August
2025
Published online:
15
September
2025
We update the observational constraints on the interacting holographic dark energy (IHDE) models by considering ten representative interaction forms, each defined in terms of the energy densities of dark energy (
) and dark matter (
). This analysis utilizes the latest observational datasets, including baryon acoustic oscillation (BAO) measurements from the second data release (DR2) of the Dark Energy Spectroscopic Instrument (DESI), type Ia supernova (SNIa) data from the full five-year observations of the Dark Energy Survey (DES), cosmic microwave background (CMB) observations from Planck 2018, observational Hubble parameter data (OHD), and the local measurement of Hubble constant. Using AIC, BIC and Bayes factor, we find that the 
CDM model remains the most strongly favored by the data, while the holographic dark energy (HDE) model is ruled out. Relative to the HDE model, the IHDE models provide a significantly better fit to the data, and the interaction can help alleviating the Big Rip problem. Among the ten IHDE models considered, the two with interaction terms 
and 
, are the most strongly supported by the observational data, where 
is the coupling parameter. Additionally, the AIC, BIC, and Bayes factor values for the majority of IHDE models are nearly identical, indicating minimal differences in their fitting performance with the current data. This implies that more precise future observations will be necessary to better distinguish between these interaction forms.
© The Author(s) 2025
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Funded by SCOAP3.
