English

Testing General Relativity on cosmological scales at redshift z ~ 1.5 with quasar and CMB lensing

Cosmology and Nongalactic Astrophysics 2020-12-23 v2

Abstract

We test general relativity (GR) at the effective redshift zˉ1.5\bar{z} \sim 1.5 by estimating the statistic EGE_G, a probe of gravity, on cosmological scales 19190h1Mpc19 - 190\,h^{-1}{\rm Mpc}. This is the highest-redshift and largest-scale estimation of EGE_G so far. We use the quasar sample with redshifts 0.8<z<2.20.8 < z < 2.2 from Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 (DR16) as the large-scale structure (LSS) tracer, for which the angular power spectrum CqqC_\ell^{qq} and the redshift-space distortion (RSD) parameter β\beta are estimated. By cross correlating with the Planck\textit{Planck} 2018 cosmic microwave background (CMB) lensing map, we detect the angular cross-power spectrum CκqC_\ell^{\kappa q} signal at 12σ12\,\sigma significance. Both jackknife resampling and simulations are used to estimate the covariance matrix (CM) of EGE_G at 55 bins covering different scales, with the later preferred for its better constraints on the covariances. We find EGE_G estimates agree with the GR prediction at 1σ1\,\sigma level over all these scales. With the CM estimated with 300300 simulations, we report a best-fit scale-averaged estimate of EG(zˉ)=0.30±0.05E_G(\bar{z})=0.30\pm 0.05, which is in line with the GR prediction EGGR(zˉ)=0.33E_G^{\rm GR}(\bar{z})=0.33 with Planck\textit{Planck} 2018 CMB+BAO matter density fraction Ωm=0.31\Omega_{\rm m}=0.31. The statistical errors of EGE_G with future LSS surveys at similar redshifts will be reduced by an order of magnitude, which makes it possible to constrain modified gravity models.

Keywords

Cite

@article{arxiv.2007.12607,
  title  = {Testing General Relativity on cosmological scales at redshift z ~ 1.5 with quasar and CMB lensing},
  author = {Yucheng Zhang and Anthony R. Pullen and Shadab Alam and Sukhdeep Singh and Etienne Burtin and Chia-Hsun Chuang and Jiamin Hou and Brad W. Lyke and Adam D. Myers and Richard Neveux and Ashley J. Ross and Graziano Rossi and Cheng Zhao},
  journal= {arXiv preprint arXiv:2007.12607},
  year   = {2020}
}

Comments

16 pages, 14 figures; references added, matches version accepted by MNRAS