
TL;DR
This paper investigates whether dark energy density changes over time using PCA on supernova, BAO, and CMB data, finding results mostly consistent with a flat Lambda-CDM model but hinting at possible evolution with BAO data.
Contribution
It applies PCA to combined cosmological data sets to constrain dark energy evolution and explores potential deviations from a cosmological constant.
Findings
Data are consistent with a flat Universe.
Supernova data support a constant dark energy density.
BAO data suggest possible non-constant dark energy contribution.
Abstract
We look for evidence for the evolution in dark energy density by employing Principal Component Analysis (PCA). Distance redshift data from supernovae and baryon acoustic oscillations (BAO) along with WMAP7 distance priors are used to put constraints on curvature parameter Omega_k and dark energy parameters. The data sets are consistent with a flat Universe. The constraints on the dark energy evolution parameters obtained from supernovae (including CMB distance priors) are consistent with a flat Lambda-CDM Universe. On the other hand, in the parameter estimates obtained from the addition of BAO data the second principal component, which characterize a non-constant contribution from dark energy, is non-zero at 1-sigma. This could be a systematic effect and future BAO data holds key to making more robust claims.
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