Role of Future SNIa Data from Rubin LSST in Reinvestigating Cosmological Models
arxiv(2023)
摘要
We study how future Type-Ia supernovae (SNIa) standard candles detected by
the Vera C. Rubin Observatory (LSST) can constrain some cosmological models. We
use a realistic three-year SNIa simulated dataset generated by the LSST Dark
Energy Science Collaboration (DESC) Time Domain pipeline, which includes a mix
of spectroscopic and photometrically identified candidates. We combine this
data with Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillation
(BAO) measurements to estimate the dark energy model parameters for two models
– the baseline ΛCDM and Chevallier-Polarski-Linder (CPL) dark energy
parametrization. We compare them with the current constraints obtained from
joint analysis of the latest real data from the Pantheon SNIa compilation, CMB
from Planck 2018 and BAO. Our analysis finds tighter constraints on the model
parameters along with a significant reduction of correlation between H_0 and
σ_8,0. We find that LSST is expected to significantly improve upon the
existing SNIa data in the critical analysis of cosmological models.
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