CMB lensing tomography with clustering estimation of lens redshift distributions
arXiv:2502.10168 · doi:10.1093/mnras/staf692
Abstract
We develop a clustering-based redshift estimation approach for CMB lensing tomography, focusing on the kernel function of the lensing galaxies. Within a linear galaxy bias framework, we derive estimators for this kernel from two-point cross-correlations between lens mass and reference samples. The reconstructed kernel then enables a theoretical prediction for the angular cross-power spectrum \(C_{gκ}\) between CMB lensing convergence and lens galaxies. As a proof of concept, we measure \(C_{gκ}\) by correlating the \emph{Planck} PR4 convergence map with NVSS+SUMSS radio galaxies (\(0\lesssim z\lesssim 3\)). We estimate the radio-galaxy kernel by collectively cross-correlating their distribution with spectroscopic and photometric surveys (2MPZ, LOWZ-CMASS, eBOSS DR16 LRGs, and Gaia-unWISE QSOs). From the measured \(C_{gκ}\), we obtain \(σ_8 = 0.86^{+0.12}_{-0.09}\) when the density parameter is set to the {\it Planck} value of ; this is in good agreement with the \emph{Planck} normalisation of .
22 pages, 21 figures. Published in MNRAS from Apr 30th, 2025
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