Searching for the Evidence of Dynamical Dark Energy
arXiv:1903.08913 · doi:10.1140/epjc/s10052-019-6726-3
Abstract
In the statistical framework of model-independent Gaussian processes (GP), we search for the evidence of dynamical dark energy (DDE) using the "Joint Light-curve Analysis" (JLA) Type Ia supernovae (SNe Ia) sample, the 30 latest cosmic chronometer data points (H(z)), Planck's shift parameter from cosmic microwave background (CMB) anisotropies, the 156 latest HII galaxy measurements and 79 calibrated gamma-ray bursts (GRBs). We find that the joint constraint from JLA + H(z) + CMB + HII + GRB supports the global measurement of by Planck collaboration very much in the low redshift range at the confidence level (C.L.), gives a cosmological constant crossing (quintom-like) equation of state (EoS) of DE at the C.L. and implies that the evolution of the late-time Universe may be actually dominated by the DDE.
EPJC accepted. 7 figures, 10 pages
References in corpus (15)
- Raising the bar: new constraints on the Hubble parameter with cosmic chronometers at z2
- Improved Dark Energy Constraints from ~100 New CfA Supernova Type Ia Light Curves
- Reconstructing Dark Energy
- CfA3: 185 Type Ia Supernova Light Curves from the CfA
- H-alpha Observations of a Large Sample of Galaxies at z~2: Implications for Star Formation in High Redshift Galaxies
- Gaussian Process Cosmography
- Nonparametric Dark Energy Reconstruction from Supernova Data
- Nonparametric Reconstruction of the Dark Energy Equation of State
- Examining the evidence for dynamical dark energy
- Reconstructing the interaction between dark energy and dark matter using Gaussian Processes
- The Nature of Extreme Emission Line Galaxies at z=1-2: Kinematics and Metallicities from Near-Infrared Spectroscopy
- Model Independent Reconstruction of the Expansion History of the Universe and the Properties of Dark Energy
- The relation for massive bursts of star formation
- Improved constraints on the dark energy equation of state using Gaussian processes
- Reduction of Cosmological Data for the Detection of Time-varying Dark Energy Density