Journal article

An inpainting approach to tackle the kinematic and thermal SZ induced biases in CMB-cluster lensing estimators

Srinivasan Raghunathan, Gilbert P Holder, James G Bartlett, SanjayKumar Patil, Christian L Reichardt, Nathan Whitehorn

Journal of Cosmology and Astroparticle Physics | IOP Publishing | Published : 2019


A galaxy cluster's own Sunyaev-Zel'dovich (SZ) signal is known to be a major contaminant when reconstructing the cluster's underlying lensing potential using cosmic microwave background (CMB) temperature maps. In this work, we develop a modified quadratic estimator (QE) that is designed to mitigate the lensing biases due to the kinematic and thermal SZ effects. The idea behind the approach is to use inpainting technique to eliminate the cluster's own emission from the large-scale CMB gradient map. In this inpainted gradient map, we fill the pixel values at the cluster location based on the information from surrounding regions using a constrained Gaussian realization. We show that the noise i..

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University of Melbourne Researchers


Awarded by NSF

Awarded by Australian Research Council

Awarded by National Science Foundation

Awarded by NSF Physics Frontier Center

Awarded by Gordon and Betty Moore Foundation

Awarded by Office of Science of the U.S. Department of Energy

Funding Acknowledgements

The UCLA authors acknowledge support from NSF grants AST-1716965 and CSSI-1835865. SP acknowledges support from Melbourne International Engagement Award (MIPP) and Laby Travel Bursary. CR acknowledges the support from Australian Research Council's Discovery Projects scheme (DP150103208). This work was performed in the context of the South Pole Telescope scientific program. SPT is supported by the National Science Foundation through grant PLR-1248097. Partial support is also provided by the NSF Physics Frontier Center grant PHY-1125897 to the Kavli Institute of Cosmological Physics at the University of Chicago, the Kavli Foundation and the Gordon and Betty Moore Foundation grant GBMF 947. A part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. We acknowledge the use of HEALPix [71] and CAMB [49] routines.