Planck Constraints on Holographic Dark Energy
Miao Li, Xiao-Dong Li, Yin-Zhe Ma, Xin Zhang, Zhenhui Zhang

TL;DR
This paper uses Planck data to constrain the holographic dark energy model, finding it fits high-l temperature spectra well and favors a phantom-like dark energy component, with improved parameter constraints over previous WMAP9 results.
Contribution
The study provides the first detailed Planck-based constraints on holographic dark energy, demonstrating its compatibility with various cosmological data sets and highlighting the impact of lensing data.
Findings
Planck data constrains the HDE parameter c to about 0.5.
HDE fits high-l Planck spectra but not the l=20-40 discrepancy.
Planck results favor a phantom-like dark energy at > 2sigma CL.
Abstract
We perform a detailed investigation on the cosmological constraints on the holographic dark energy (HDE) model by using the Planck data. HDE can provide a good fit to Planck high-l (l>40) temperature power spectrum, while the discrepancy at l=20-40 found in LCDM remains unsolved in HDE. The Planck data alone can lead to strong and reliable constraint on the HDE parameter c. At 68% CL, we get c=0.508+-0.207 with Planck+WP+lensing, favoring the present phantom HDE at > 2sigma CL. Comparably, by using WMAP9 alone we cannot get interesting constraint on c. By combining Planck+WP with the BAO measurements from 6dFGS+SDSS DR7(R)+BOSS DR9, the H0 measurement from HST, the SNLS3 and Union2.1 SNIa data sets, we get 68% CL constraints c=0.484+-0.070, 0.474+-0.049, 0.594+-0.051 and 0.642+-0.066. Constraints can be improved by 2%-15% if we further add the Planck lensing data. Compared with the…
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.
