Constrain Spatial Curvature and Dark Energy with Strong Lenses and Complementary Probes: a Forecast for Next-Generation Surveys
Abstract
Inferring spatial curvature of the Universe with high-fidelity is a longstanding interest in cosmology. However, the strong degeneracy between dark energy equation-of-state parameter and curvature density parameter has always been a hurdle for precision measurements of curvature from late-universe probes. With the imminent commissioning of Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), we demonstrate for the first time, using simulations of stage-IV surveys, the crucial role of time-delay distances from strong gravitational lenses in breaking this degeneracy. Our findings suggest that in non-flat CDM model, while strong lensing data alone only yield a constraint at level, the integration with SNe Ia and BAO data breaks the - degeneracy and refines the constraint to . This surpasses the constraints typically derived from SNe Ia Hubble diagrams and BAO data and is comparable to the constraints obtained from \textit{Planck} Primary CMB data. Additionally, we present a non-parametric approach using Gaussian Process to avoid parameter-dependency of the expansion history and achieve similar level constraint on . This study demonstrates the significant potential of strong gravitational lenses and Stage-IV surveys like LSST to achieve high-fidelity, independent constraints on , contributing to our understanding of the Universe's geometry and the dynamics of dark energy.
Keywords
Cite
@article{arxiv.2411.05082,
title = {Constrain Spatial Curvature and Dark Energy with Strong Lenses and Complementary Probes: a Forecast for Next-Generation Surveys},
author = {Yang Hu and Suhail Dhawan},
journal= {arXiv preprint arXiv:2411.05082},
year = {2024}
}
Comments
7 pages, 4 figures. Accepted by MNRAS on 2024 November 6