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Constraints on the dark energy using multiple observations : snare of principal component analysis

2011/04/06 by Seokcheon Lee, Lee, Seokcheon
Mathematics · Physics and Astronomy · #Astronomy and Astrophysical Research #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Statistical and numerical algorithms #Stellar, planetary, and galactic studies #astro-ph.CO

paper · pdf · doi:10.48550/arxiv.1104.1137

4 pages, 2 figures, 1 table

openalex publication_date 2011/04/06 · arxiv created 2013/12/17 · arxiv updated 2013/12/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We explore snares in determining the equation of state of dark energy (ω) when one uses the so-called principal component analysis for multiple observations. We demonstrated drawbacks of principal component analysis in an earlier paper. We used the Hubble parameter data generated from a fiducial model using the so-called Chevallier-Polarski-Linder parameterization. We extend our previous consideration to multiple observations, the Hubble parameter and the luminosity distance. We find that the principal component analysis produces the almost constant ω even when a fiducial model is a rapidly varying ω. Thus, resolution of dynamical property of ω through PCA is degraded especially when one fits to several observations.

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