General constraints on Tsallis holographic dark energy from observational data
Artyom V. Astashenok, Alexander S. Tepliakov

TL;DR
This study tests the Tsallis holographic dark energy model against multiple observational datasets, finding it can slightly improve fit over standard cosmology and exploring the impact of matter-dark energy interaction.
Contribution
It introduces constraints on Tsallis holographic dark energy parameters using diverse observational data, including supernovae, Hubble measurements, and BAO, and considers matter-dark energy interaction effects.
Findings
Best-fit Hubble constant values are closer to local measurements.
The model slightly outperforms standard cosmology in data fitting.
Interaction between matter and dark energy is compatible with observations.
Abstract
We investigated Tsallis holographic dark energy (THDE) model in light of modern observations of supernovae, Hubble parameter measurements, data for baryon acoustic oscillations and fluctuations of matter density. The dark energy density for THDE model is written as where and are some constants. Scale is infrared cut-off lenght for which we use the event horizon. For analysis of type Ia supernovae (SNeIa) data Pantheon+ samples are involved. Dark Energy Spectroscopic Instrument (DESI) 2024 measurements serves as source of data about ratios between sound horizon and Hubble () or volume averaged () distances. The updated dataset of Hubble parameter for various redshift is also used in our analysis. Finally we considered the dependence of matter density fluctuations in past from redshift. The standard stratefy of …
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCosmology and Gravitation Theories · Black Holes and Theoretical Physics · Geophysics and Gravity Measurements
