Evidence for a 3.0$σ$ Deviation in Gravitational Light Deflection from General Relativity at Cosmological Scales with KiDS-Legacy and CMB Lensing
Guo-Hong Du, Tian-Nuo Li, Tonghua Liu, Jing-Fei Zhang, Xin Zhang
TL;DR
This study tests General Relativity at cosmological scales using a phenomenological $μ$-$Σ$ gravity framework, combining KiDS-Legacy weak lensing with joint CMB data (Planck, ACT, SPT), DESI DR2 BAO, and DES-Dovekie supernovae. The analysis explores both $Λ$CDM and $w_0 w_a$CDM background evolutions and employs a late-time, scale-independent parameterization for deviations in matter clustering ($μ_0$) and light deflection ($Σ_0$). Results show $μ_0$ is consistent with GR across data combinations, while $Σ_0$ exhibits a notable deviation up to $3σ$, primarily driven by large-scale CMB lensing points, with KiDS-Legacy data significantly tightening constraints. The work highlights the crucial role of combining high-precision CMB lensing with weak lensing to test gravity on cosmological scales and discusses whether the $Σ_0$ deviation signals new physics or data systematics, outlining future avenues with Euclid and LSST.
Abstract
General Relativity (GR) faces challenges from cosmic acceleration and observational tensions, necessitating stringent tests at cosmological scales. In this work, we probe GR deviations via a $μ$-$Σ$ modified gravity parameterization, integrating KiDS-Legacy weak lensing (1347 deg$^2$, $z\leq 2.0$), joint CMB data (Planck/ACT/SPT), DESI DR2 BAO, and DES-Dovekie supernovae. KiDS-Legacy significantly improves constraint precision: $μ_0$ (matter clustering) by $\sim 43\%$ and $Σ_0$ (gravitational light deflection) by $\sim 60\%$ relative to CMB alone. In the $Λ$CDM background, $μ_0 = 0.21\pm 0.21$ is consistent with GR, while $Σ_0 = 0.149\pm 0.051$ deviates from GR at the 3.0$σ$ level -- attributed to large-scale CMB lensing from ACT/SPT. This precise separation of GR-consistent matter clustering and deviant light deflection provides key observational clues for new physics or data systematics. Our work underscores the critical role of synergizing high-precision CMB and WL data in advancing GR tests.
