Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 446

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Constraints on holographic dark energy from type Ia supernova observations

Open access
Zhang, Xin, Wu, Feng-Quan·2005·Physical Review D
DOI 10.1103/physrevd.72.043524
Open this paper in CoChat — free account

Abstract

In this paper, we use the type Ia supernovae data to constrain the holographic dark energy model proposed by Li. We also apply a cosmic age test to this analysis. We consider in this paper a spatially flat Friedmann-Robertson-Walker universe with a matter component and a holographic dark energy component. The fit result shows that the case $c<1$ ($c=0.21$) is favored, which implies that the holographic dark energy behaves as a quintom-type dark energy. Furthermore, we also perform a joint analysis of $\mathrm{SNe}+\mathrm{CMB}+\mathrm{LSS}$ to this model; the result is well improved and still upholds the quintom dark energy conclusion. The best fit results in our analysis are $c=0.81$, ${\ensuremath{\Omega}}_{m}^{0}=0.28$, and $h=0.65$, which lead to the present equation of state of dark energy ${w}_{0}=\ensuremath{-}1.03$ and the deceleration/acceleration transition redshift ${z}_{T}=0.63$. Finally, an expected supernova/acceleration probe simulation using $\ensuremath{\Lambda}\mathrm{CDM}$ as a fiducial model is performed on this model, and the result shows that the holographic dark energy model takes on $c<1$ ($c=0.92$) even though the dark energy is indeed a cosmological constant.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevd.72.043524

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 10 references

Cited by

See all 446

Metadata

Authors
Zhang, X., & Wu, F.-Q.
Venue
Physical Review D
Publisher
American Physical Society (APS)
Published
2005-08-23
Volume
72
Issue
4
ISSN
  • 0556-2821 (ISSN-L)
  • 1550-7998
  • 1550-2368
DOI
10.1103/physrevd.72.043524
OpenAlex
W2089055374
Cited by
446
References
10
FWCI
18.35
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Constraints on holographic dark energy from type Ia supernova observations. https://app.cochat.ai/papers/10.1103/physrevd.72.043524
The paper
Zhang, X., & Wu, F.-Q. (2005). Constraints on holographic dark energy from type Ia supernova observations. Physical Review D. https://doi.org/10.1103/physrevd.72.043524

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.