13 citations · 23 across the 6 of their papers we have counts for
6 papers
CMBFSCNN: Cosmic Microwave Background Polarization Foreground Subtraction with Convolutional Neural Network
Ye-Peng Yan, Si-Yu Li, Guo-Jian Wang +2
In our previous study, we introduced a machine-learning technique, namely CMBFSCNN, for the removal of foreground contamination in cosmic microwave background (CMB) polarization da…
Optimal map-making with singularities
Zirui Zhang, Yiwen Wu, Yang Liu +3
In this work, we investigate the optimal map-making technique for the linear system while carefully taking into account singularities that may come from either the covaria…
A Constrained NILC method for CMB B mode observations
Zirui Zhang, Yang Liu, Si-Yu Li +2
The Internal Linear Combination (ILC) method is commonly employed to extract the cosmic microwave background (CMB) signal from multi-frequency observation maps. However, the perfor…
Study on the filters of atmospheric contamination in ground based CMB observation
Yi-Wen Wu, SiYu Li, Yang Liu +3
The atmosphere is one of the most important contamination sources in the ground-based Cosmic Microwave Background (CMB) observations. In this paper, we study three kinds of filters…
Forecasts on CMB lensing observations with AliCPT-1
Jinyi Liu, Zeyang Sun, Jiakang Han +18
AliCPT-1 is the first Chinese CMB experiment aiming for high precision measurement of Cosmic Microwave Background B-mode polarization. The telescope, currently under deployment in…
Efficient ILC analysis on polarization maps after EB leakage correction
Zirui Zhang, Yang Liu, Si-Yu Li +3
The Internal Linear Combination (ILC) is widely used to extract the cosmic microwave background (CMB) signal from multi-frequency observation maps, especially for Satellite experim…