TL;DR
This paper demonstrates that combining CMB lensing data with galaxy surveys allows for highly precise shear calibration, significantly reducing systematic uncertainties in next-generation weak lensing surveys like LSST, Euclid, and WFIRST.
Contribution
It introduces a joint analysis framework using CMB lensing from Stage 4 experiments to self-calibrate shear biases in upcoming weak lensing surveys, achieving sub-percent accuracy.
Findings
CMB lensing enables shear bias calibration to 0.2%-3% across surveys.
Calibration is robust to photometric redshift uncertainties and intrinsic alignments.
Method is effective with third-generation CMB experiments like AdvACT and SPT-3G.
Abstract
The next generation weak lensing surveys (i.e., LSST, Euclid and WFIRST) will require exquisite control over systematic effects. In this paper, we address shear calibration and present the most realistic forecast to date for LSST/Euclid/WFIRST and CMB lensing from a stage 4 CMB experiment (CMB S4). We use the CosmoLike code to simulate a joint analysis of all the two-point functions of galaxy density, galaxy shear and CMB lensing convergence. We include the full Gaussian and non-Gaussian covariances and explore the resulting joint likelihood with Monte Carlo Markov Chains. We constrain shear calibration biases while simultaneously varying cosmological parameters, galaxy biases and photometric redshift uncertainties. We find that CMB lensing from CMB S4 enables the calibration of the shear biases down to 0.2% - 3% in 10 tomographic bins for LSST (below the ~0.5% requirements in most…
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