Yuchen Zhang, A. Pullen, S. Alam, Sukhdeep Singh, É. Burtin, C. Chuang, Jiamin Hou, B. Lyke, A. Myers, R. Neveux, A. Ross, G. Rossi, Cheng Zhao
{"title":"Testing general relativity on cosmological scales at redshift z ∼ 1.5 with quasar and CMB lensing","authors":"Yuchen Zhang, A. Pullen, S. Alam, Sukhdeep Singh, É. Burtin, C. Chuang, Jiamin Hou, B. Lyke, A. Myers, R. Neveux, A. Ross, G. Rossi, Cheng Zhao","doi":"10.1093/mnras/staa3672","DOIUrl":null,"url":null,"abstract":"We test general relativity (GR) at the effective redshift $\\bar{z} \\sim 1.5$ by estimating the statistic $E_G$, a probe of gravity, on cosmological scales $19 - 190\\,h^{-1}{\\rm Mpc}$. This is the highest-redshift and largest-scale estimation of $E_G$ so far. We use the quasar sample with redshifts $0.8 < z < 2.2$ 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 $C_\\ell^{qq}$ and the redshift-space distortion (RSD) parameter $\\beta$ are estimated. By cross correlating with the $\\textit{Planck}$ 2018 cosmic microwave background (CMB) lensing map, we detect the angular cross-power spectrum $C_\\ell^{\\kappa q}$ signal at $12\\,\\sigma$ significance. Both jackknife resampling and simulations are used to estimate the covariance matrix (CM) of $E_G$ at $5$ bins covering different scales, with the later preferred for its better constraints on the covariances. We find $E_G$ estimates agree with the GR prediction at $1\\,\\sigma$ level over all these scales. With the CM estimated with $300$ simulations, we report a best-fit scale-averaged estimate of $E_G(\\bar{z})=0.30\\pm 0.05$, which is in line with the GR prediction $E_G^{\\rm GR}(\\bar{z})=0.33$ with $\\textit{Planck}$ 2018 CMB+BAO matter density fraction $\\Omega_{\\rm m}=0.31$. The statistical errors of $E_G$ with future LSS surveys at similar redshifts will be reduced by an order of magnitude, which makes it possible to constrain modified gravity models.","PeriodicalId":8431,"journal":{"name":"arXiv: Cosmology and Nongalactic Astrophysics","volume":"70 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Cosmology and Nongalactic Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/mnras/staa3672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
We test general relativity (GR) at the effective redshift $\bar{z} \sim 1.5$ by estimating the statistic $E_G$, a probe of gravity, on cosmological scales $19 - 190\,h^{-1}{\rm Mpc}$. This is the highest-redshift and largest-scale estimation of $E_G$ so far. We use the quasar sample with redshifts $0.8 < z < 2.2$ 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 $C_\ell^{qq}$ and the redshift-space distortion (RSD) parameter $\beta$ are estimated. By cross correlating with the $\textit{Planck}$ 2018 cosmic microwave background (CMB) lensing map, we detect the angular cross-power spectrum $C_\ell^{\kappa q}$ signal at $12\,\sigma$ significance. Both jackknife resampling and simulations are used to estimate the covariance matrix (CM) of $E_G$ at $5$ bins covering different scales, with the later preferred for its better constraints on the covariances. We find $E_G$ estimates agree with the GR prediction at $1\,\sigma$ level over all these scales. With the CM estimated with $300$ simulations, we report a best-fit scale-averaged estimate of $E_G(\bar{z})=0.30\pm 0.05$, which is in line with the GR prediction $E_G^{\rm GR}(\bar{z})=0.33$ with $\textit{Planck}$ 2018 CMB+BAO matter density fraction $\Omega_{\rm m}=0.31$. The statistical errors of $E_G$ with future LSS surveys at similar redshifts will be reduced by an order of magnitude, which makes it possible to constrain modified gravity models.