Reconstruction of hessence dark energy and the latest type Ia supernovae gold dataset
Hao Wei, Ningning Tang, Shuang‐Nan Zhang
Abstract
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Hao Wei, Ningning Tang, Shuang‐Nan Zhang
Abstract
Open-access reader
Recently, many efforts have been made to build dark energy models whose equation-of-state parameter can cross the so-called phantom divide ${w}_{\mathrm{de}}=\ensuremath{-}1$. 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.
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Recently, many efforts have been made to build dark energy models whose equation-of-state parameter can cross the so-called phantom divide ${w}_{\mathrm{de}}=\ensuremath{-}1$. 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.
Key concepts: Dark energy, Supernova, Physics, Hubble's law, Energy (signal processing), Type (biology), Equation of state, Simple (philosophy)