Dynamical dark energy in light of cosmic distance measurements I: a demonstration using simulated datasets
Research in Astronomy and Astrophysics(2024)
摘要
We develop methods to extract key dark energy information from cosmic
distance measurements including the BAO scales and supernovae luminosity
distances. Demonstrated using simulated datasets of the complete DESI, LSST and
Roman surveys designed for BAO and SNe distance measurements, we show that
using our method, the dynamical behaviour of the energy, pressure, equation of
state (with its time derivative) of dark energy and the cosmic deceleration
function can all be accurately recovered from high-quality data, which allows
for robust diagnostic tests for dark energy models.
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