Reconstructing dark energy with model independent methods after DESI DR2 BAO
Jun-Xian Li, Shuang Wang

TL;DR
This study uses model-independent methods with recent cosmological data to reconstruct dark energy properties, revealing evidence for dynamical behavior and crossing the phantom divide, especially in the redshift range 0.5 to 1.5.
Contribution
It applies two model-independent reconstruction techniques to multiple datasets, providing robust evidence for evolving dark energy and its crossing of the phantom divide.
Findings
Dark energy likely evolves with redshift, deviating from a cosmological constant.
Dark energy equation of state crosses w=-1 between redshift 0.5 and 1.5.
Reconstruction uncertainties increase for redshift z > 1.5.
Abstract
In this paper, we employ two model-independent approaches, including redshift binning method and polynomial interpolation method, to reconstruct dark energy (DE) equation of state (EoS) and DE density function . Our analysis incorporates data from the Dark Energy Spectroscopic Instrument (DESI) data release 2, Cosmic Microwave Background (CMB) distance priors from Planck 2018 and Atacama Cosmology Telescope data release 6, and three Type Ia supernovae (SN) compilations (PantheonPlus, Union3, and DESY5). To ensure model independence, we adopt three redshift binning schemes (n=3, 4, 5) and three polynomial interpolation schemes with the same number of nodes (n=3, 4, 5). Our main conclusions are as follows: 1) After taking into account DESI data, there is a trend that DE should evolve with redshift (with deviations from the cosmological constant reaching at least a…
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