Optimal strategies : theoretical approaches to the parametrization of the dark energy equation of state

Abstract

The absence of compelling theoretical model requires the parameterizing the dark energy to probe its properties. The parametrization of the equation of state of the dark energy is a common method. We explore the theoretical optimization of the parametrization based on the Fisher information matrix. As a suitable parametrization, it should be stable at high redshift and should produce the determinant of the Fisher matrix as large as possible. For the illustration, we propose one parametrization which can satisfy both criteria. By using the proper parametrization, we can improve the constraints on the dark energy even for the same data. We also show the weakness of the so-called principal component analysis method.

7pages, 11 figures, 2 tables, To match the version accepted by ASS

References in corpus (3)

• The WiggleZ Dark Energy Survey: Joint measurements of the expansion and growth history at z < 1
• Clustering of Luminous Red Galaxies IV: Baryon Acoustic Peak in the Line-of-Sight Direction and a Direct Measurement of H(z)
• Fisher Matrix Decomposition for Dark Energy Prediction

Cited by in corpus (3)

• Bending of light in the Universe filled with quintessential dark energy
• The Impact of ${\Omega }_{m0}$ Prior Bias on Cosmological Parameter Estimation: Reconciling DESI DR2 BAO and Pantheon+ SNe Data Combination Results
• Probing Time-Varying Dark Energy with DESI: The Crucial Role of Precision Matter Density (Ω_{m0}) Measurements