6 papers
Mitigating point-source contamination in CMB polarization: a Generalized Point Spread Function fitting approach
Yi-Ming Wang, Wen-Zheng Chen, Yang Liu +2
Observations of Cosmic Microwave Background (CMB) B-mode polarization provide a way to probe primordial gravitational waves and test inflationary predictions. Extragalactic point s…
From South to North: Leveraging Ground-Based LATs for Full-Sky CMB Delensing and Constraints on
Wen-Zheng Chen, Yang Liu, Yi-Ming Wang +1
Delensing--the process of mitigating the lensing-induced B-mode contamination in cosmic microwave background (CMB) observations--will be a pivotal challenge for next-generation CMB…
Analysis of discrete energy-decay preserving schemes for Maxwell's equations in Cole-Cole dispersive medium
Guoyu Zhang, Ziming Dong, Baoli Yin +2
This work investigates the design and analysis of energy-decay preserving numerical schemes for Maxwell's equations in a Cole-Cole (C-C) dispersive medium. A continuous energy-deca…
Delensing for Precision Cosmology: Optimizing Future CMB B-mode Surveys to Constrain r
Wen-Zheng Chen, Yang Liu, Yi-Ming Wang +1
The detection of primordial B-modes, a key probe of cosmic inflation, is increasingly challenged by contamination from weak gravitational lensing B-modes induced by large-scale str…
Enhancing Primordial B-mode Detection: Comprehensive Delensing Pipelines for Improved Sensitivity to
Wen-Zheng Chen, Yang Liu, Siyu Li +2
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-…
Foreground Removal in Ground-Based CMB Observations Using a Transformer Model
Ye-Peng Yan, Si-Yu Li, Yang Liu +2
We present a novel method for Cosmic Microwave Background (CMB) foreground removal based on deep learning techniques. This method employs a Transformer model, referred to as \textt…