Impact Mitigation of Polarized Extragalactic Foregrounds on Bayesian Cosmic Microwave Background Lensing
arxiv(2024)
摘要
Future low-noise cosmic microwave background (CMB) lensing measurements from
e.g., CMB-S4 will be polarization dominated, rather than temperature dominated.
In this new regime, statistically optimal lensing reconstructions outperform
the standard quadratic estimator, but their sensitivity to extragalactic
polarized foregrounds has not been quantified. Using realistic simulations of
polarized radio and infrared point sources, we show for the first time that
optimal Bayesian lensing from a CMB-S4-like experiment is insensitive to the
expected level of polarized extragalactic foregrounds after masking, as long as
an accurate foreground power spectrum is included in the analysis. For more
futuristic experiments where these foregrounds could cause a detectable bias,
we propose a new method to jointly fit for lensing and the Poisson foregrounds,
generalizing the bias hardening from the standard quadratic estimator to
Bayesian lensing.
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