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Title: Reconstruction of hessence dark energy and the latest type Ia supernovae gold dataset

Abstract

Recently, many efforts have been made to build dark energy models whose equation-of-state parameter can cross the so-called phantom divide w{sub de}=-1. One of them is the so-called hessence dark energy model in which the role of dark energy is played by a noncanonical complex scalar field. In this work, we develop a simple method based on Hubble parameter H(z) to reconstruct the hessence dark energy. As examples, we use two familiar parametrizations for H(z) and fit them to the latest 182 type Ia supernovae Gold dataset. In the reconstruction, measurement errors are fully considered.

Authors:
; ;  [1];  [2];  [2];  [3]
  1. Department of Physics and Tsinghua Center for Astrophysics, Tsinghua University, Beijing 100084 (China)
  2. (China)
  3. (United States)
Publication Date:
OSTI Identifier:
21011041
Resource Type:
Journal Article
Resource Relation:
Journal Name: Physical Review. D, Particles Fields; Journal Volume: 75; Journal Issue: 4; Other Information: DOI: 10.1103/PhysRevD.75.043009; (c) 2007 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; COSMOLOGY; EQUATIONS OF STATE; ERRORS; NONLUMINOUS MATTER; PHANTOMS; SCALAR FIELDS

Citation Formats

Wei Hao, Tang Ningning, Zhang Shuangnan, Department of Physics and Tsinghua Center for Astrophysics, Tsinghua University, Beijing 100084, Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, and Physics Department, University of Alabama in Huntsville, Huntsville, Alabama 35899. Reconstruction of hessence dark energy and the latest type Ia supernovae gold dataset. United States: N. p., 2007. Web. doi:10.1103/PHYSREVD.75.043009.
Wei Hao, Tang Ningning, Zhang Shuangnan, Department of Physics and Tsinghua Center for Astrophysics, Tsinghua University, Beijing 100084, Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, & Physics Department, University of Alabama in Huntsville, Huntsville, Alabama 35899. Reconstruction of hessence dark energy and the latest type Ia supernovae gold dataset. United States. doi:10.1103/PHYSREVD.75.043009.
Wei Hao, Tang Ningning, Zhang Shuangnan, Department of Physics and Tsinghua Center for Astrophysics, Tsinghua University, Beijing 100084, Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, and Physics Department, University of Alabama in Huntsville, Huntsville, Alabama 35899. Thu . "Reconstruction of hessence dark energy and the latest type Ia supernovae gold dataset". United States. doi:10.1103/PHYSREVD.75.043009.
@article{osti_21011041,
title = {Reconstruction of hessence dark energy and the latest type Ia supernovae gold dataset},
author = {Wei Hao and Tang Ningning and Zhang Shuangnan and Department of Physics and Tsinghua Center for Astrophysics, Tsinghua University, Beijing 100084 and Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049 and Physics Department, University of Alabama in Huntsville, Huntsville, Alabama 35899},
abstractNote = {Recently, many efforts have been made to build dark energy models whose equation-of-state parameter can cross the so-called phantom divide w{sub de}=-1. One of them is the so-called hessence dark energy model in which the role of dark energy is played by a noncanonical complex scalar field. In this work, we develop a simple method based on Hubble parameter H(z) to reconstruct the hessence dark energy. As examples, we use two familiar parametrizations for H(z) and fit them to the latest 182 type Ia supernovae Gold dataset. In the reconstruction, measurement errors are fully considered.},
doi = {10.1103/PHYSREVD.75.043009},
journal = {Physical Review. D, Particles Fields},
number = 4,
volume = 75,
place = {United States},
year = {Thu Feb 15 00:00:00 EST 2007},
month = {Thu Feb 15 00:00:00 EST 2007}
}
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