English

Constrain Spatial Curvature and Dark Energy with Strong Lenses and Complementary Probes: a Forecast for Next-Generation Surveys

Cosmology and Nongalactic Astrophysics 2024-11-11 v1

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 ww and curvature density parameter ΩK\Omega_{\rm K} 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 owowCDM model, while strong lensing data alone only yield a ΩK\Omega_{\rm K} constraint at O(101)\sim O(10^{-1}) level, the integration with SNe Ia and BAO data breaks the ww-ΩK\Omega_{\rm K} degeneracy and refines the ΩK\Omega_{\rm K} constraint to O(102)\sim O(10^{-2}). 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 H(z)H(z) and achieve similar O(102)O(10^{-2}) level constraint on ΩK\Omega_{\rm K}. This study demonstrates the significant potential of strong gravitational lenses and Stage-IV surveys like LSST to achieve high-fidelity, independent constraints on ΩK\Omega_{\rm K}, 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