Inference of gravitational lensing and patchy reionization with future CMB data

Fuente: arXiv
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Main Authors: Bianchini, Federico, Millea, Marius
Format: Preprint
Published: 2022
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author Bianchini, Federico
Millea, Marius
author_facet Bianchini, Federico
Millea, Marius
contents We develop an optimal Bayesian solution for jointly inferring secondary signals in the Cosmic Microwave Background (CMB) originating from gravitational lensing and from patchy screening during the epoch of reionization. This method is able to extract full information content from the data, improving upon previously considered quadratic estimators for lensing and screening. We forecast constraints using the Marginal Unbiased Score Expansion (MUSE) method, and show that they are largely dominated by CMB polarization, and depend on the exact details of reionization. For models consistent with current data which produce the largest screening signals, a detection (3\,$σ$) of the cross-correlation between lensing and screening is possible with SPT-3G, and a detection of the auto-correlation is possible with CMB-S4. Models with the lowest screening signals evade the sensitivity of SPT-3G, but are still possible to detect with CMB-S4 via their lensing cross-correlation.
format Preprint
id arxiv_https___arxiv_org_abs_2210_10893
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Inference of gravitational lensing and patchy reionization with future CMB data
Bianchini, Federico
Millea, Marius
Cosmology and Nongalactic Astrophysics
We develop an optimal Bayesian solution for jointly inferring secondary signals in the Cosmic Microwave Background (CMB) originating from gravitational lensing and from patchy screening during the epoch of reionization. This method is able to extract full information content from the data, improving upon previously considered quadratic estimators for lensing and screening. We forecast constraints using the Marginal Unbiased Score Expansion (MUSE) method, and show that they are largely dominated by CMB polarization, and depend on the exact details of reionization. For models consistent with current data which produce the largest screening signals, a detection (3\,$σ$) of the cross-correlation between lensing and screening is possible with SPT-3G, and a detection of the auto-correlation is possible with CMB-S4. Models with the lowest screening signals evade the sensitivity of SPT-3G, but are still possible to detect with CMB-S4 via their lensing cross-correlation.
title Inference of gravitational lensing and patchy reionization with future CMB data
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2210.10893