Enhancing primordial B-mode detection: comprehensive delensing pipelines for improved sensitivity to r

Abstract Recognizing the impact of contamination from weak gravitational lensing B-modes induced by Large Scale Structure, we examine delensing methods to enhance sensitivity to the tensor-to-scalar ratio r in primordial B-mode detection experiments. This study presents a realistic pipeline to improve r constraints using foreground-cleaned maps with negligible residuals. The pipeline, based on simulations, is adaptable for future experiments. We focus on two delensing approaches: (1) subtracting the gradient-order lensing B-mode template, computed by convolving the E-mode with the lensing potential, from the observed B-mode signal; and (2) remapping observations using the estimated inverse deflection angle. For parameter constraints, we employ three models to reduce r uncertainty and bias, finding consistent uncertainties across models, though biases vary due to the multipole-dependence of the delensing fraction. We demonstrated this pipeline using simulated observation maps from future CMB polarization experiments, which included current representative ground-based small aperture telescopes (sub-1m), next-generation ground-based large aperture telescopes (6m), and highly competitive future space-based medium aperture missions (3m). Results show a delensing efficiency of 40% with the small-aperture telescope alone, increasing to 65% when combined with the large-aperture telescope, and 80% with the satellite mission. These lead to reductions in r uncertainty by 46% for ground-based and 63% for space missions. The most promising method adds the lensing template B-mode as an additional frequency channel, minimizing bias on r .

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Publication Details

Journal
Journal of Cosmology and Astroparticle Physics
Published
2025-01-01
DOI
https://doi.org/10.1088/1475-7516/2025/01/022
Citations
2
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
2.31
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article

Enhancing primordial B-mode detection: comprehensive delensing pipelines for improved sensitivity to r

Wen-Zheng Chen, Bin Hu, Hongye Li, Siyu Li et al.
2 citations
Journal of Cosmology and Astroparticle Physics
Cosmology and Gravitation Theories
2.31
article

Enhancing primordial B-mode detection: comprehensive delensing pipelines for improved sensitivity to r

Wen-Zheng Chen, Bin Hu, Hongye Li, Siyu Li, Yang Liu
article en
2 citations

Abstract

Abstract Recognizing the impact of contamination from weak gravitational lensing B-modes induced by Large Scale Structure, we examine delensing methods to enhance sensitivity to the tensor-to-scalar ratio r in primordial B-mode detection experiments. This study presents a realistic pipeline to improve r constraints using foreground-cleaned maps with negligible residuals. The pipeline, based on simulations, is adaptable for future experiments. We focus on two delensing approaches: (1) subtracting the gradient-order lensing B-mode template, computed by convolving the E-mode with the lensing potential, from the observed B-mode signal; and (2) remapping observations using the estimated inverse deflection angle. For parameter constraints, we employ three models to reduce r uncertainty and bias, finding consistent uncertainties across models, though biases vary due to the multipole-dependence of the delensing fraction. We demonstrated this pipeline using simulated observation maps from future CMB polarization experiments, which included current representative ground-based small aperture telescopes (sub-1m), next-generation ground-based large aperture telescopes (6m), and highly competitive future space-based medium aperture missions (3m). Results show a delensing efficiency of 40% with the small-aperture telescope alone, increasing to 65% when combined with the large-aperture telescope, and 80% with the satellite mission. These lead to reductions in r uncertainty by 46% for ground-based and 63% for space missions. The most promising method adds the lensing template B-mode as an additional frequency channel, minimizing bias on r .

Journal of Cosmology and Astroparticle PhysicsVol. 2025(01)
Chinese Academy of Sciences (CN), Beijing Normal University (CN), Institute of High Energy Physics (CN), University of Chinese Academy of Sciences (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Cosmology and Gravitation Theories
2.31
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