摘要
We develop methods to extract key dark energy information from cosmic distance measurements including the BAO scales and supernova(SN) luminosity distances.Demonstrated using simulated data sets of the complete DESI,LSST and Roman surveys designed for BAO and SN distance measurements,we show that using our method,the dynamical behavior 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.
基金
supported by the National Key R&D Program of China(2023YFA1607800,2023YFA1607803)
the National Natural Science Foundation of China (NSFC,Grant Nos.11925303 and11890691)
supported by the National Natural Science Foundation of China (NSFC,Grant No.12203062)
by a CAS Project for Young Scientists in Basic Research (No.YSBR-092)
supported by science research grants from the China Manned Space Project with No.CMS-CSST-2021-B01
supported by the New Cornerstone Science Foundation through the XPLORER prize。
