An Inpainting Approach to Tackle the Kinematic and Thermal SZ Induced Biases in CMB-Cluster Lensing Estimators

1 code implementation • 30 Apr 2019 • Srinivasan Raghunathan, Gilbert P. Holder, James G. Bartlett, SanjayKumar Patil, Christian L. Reichardt, Nathan Whitehorn

For the fiducial cluster sample considered in this work, we find that bias is negligible compared to the statistical uncertainties for both the standard and the modified QE even when modes up to $\sim 2700$ are used for the gradient estimation.

Cosmology and Nongalactic Astrophysics