Forecasts of CMB lensing reconstruction of AliCPT-1 from the foreground cleaned polarization data
Jiakang Han, Bin Hu, Shamik Ghosh, Siyu Li, Jiazheng Dou, Jacques, Delabrouille, Jing Jin, Hong Li, Yang Liu, Mathieu Remazeilles, Wen Zhao,, Pengjie Zhang, Zheng-Wei Li, Cong-Zhan Liu, Yong-jie Zhang, Chao-Lin Kuo,, Xinmin Zhang

TL;DR
This paper demonstrates the feasibility of CMB lensing reconstruction with AliCPT-1 after foreground removal, combining multiple frequency bands and advanced cleaning methods, achieving a signal-to-noise ratio comparable to other stage-III telescopes.
Contribution
It introduces a combined foreground cleaning approach using NILC and cILC methods for AliCPT-1 polarization data, enabling effective lensing reconstruction.
Findings
Effective residual noise in E- and B-maps is approximately 15 and 25 μK·arcmin.
CMB lensing reconstruction SNR is about 4.5 with the proposed methods.
AliCPT-1's lensing reconstruction capability is comparable to other stage-III telescopes.
Abstract
Cosmic microwave background radiation (CMB) observations are unavoidably contaminated by emission from various extra-galactic foregrounds, which must be removed to obtain reliable measurements of the cosmological signal. In this paper, we demonstrate CMB lensing reconstruction in AliCPT-1 after foreground removal, combine the two bands of AliCPT-1 (90 and 150~GHz) with Planck HFI bands (100, 143, 217 and 353~GHz) and with the WMAP-K band (23~GHz). In order to balance contamination by instrumental noise and foreground residual bias, we adopt the Needlet Internal Linear Combination (NILC) method to clean the E-map and the constrained Internal Linear Combination (cILC) method to clean the B-map. The latter utilizes additional constraints on average frequency scaling of the dust and synchrotron to remove foregrounds at the expense of somewhat noisier maps. Assuming 4 modules observing 1…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRadio Astronomy Observations and Technology · Geophysics and Gravity Measurements · Superconducting and THz Device Technology
