TL;DR
This paper extends gravitational lensing techniques to intensity mapping of the cosmic infrared background, enabling matter distribution reconstruction at intermediate redshifts and offering insights into star formation history.
Contribution
It generalizes the CMB lensing quadratic estimator to weakly non-Gaussian sources like the CIB, addressing non-Gaussian noise and bias, and proposes methods for their mitigation.
Findings
CIB lensing detectable with Planck data
High significance detection expected with future experiments like CCAT-Prime
Provides a framework for lensing reconstruction from intensity mapping data
Abstract
Gravitational lensing deflects the paths of cosmic infrared background (CIB) photons, leaving a measurable imprint on CIB maps. The resulting statistical anisotropy can be used to reconstruct the matter distribution out to the redshifts of CIB sources. To this end, we generalize the CMB lensing quadratic estimator to any weakly non-Gaussian source field, by deriving the optimal lensing weights. We point out the additional noise and bias caused by the non-Gaussianity and the `self-lensing' of the source field. We propose methods to reduce, subtract or model these non-Gaussianities. We show that CIB lensing should be detectable with Planck data, and detectable at high significance for future CMB experiments like CCAT-Prime. The CIB thus constitutes a new source image for lensing studies, providing constraints on the amplitude of structure at intermediate redshifts between galaxies and the…
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