Deep Learning for Primordial $B$-mode Extraction

This article likely discusses the application of deep learning techniques to analyze data from experiments designed to detect primordial B-modes, which are a signature of inflation in the early universe. The use of deep learning suggests an attempt to improve the signal-to-noise ratio and extract faint signals from noisy data. The source, ArXiv, indicates this is a pre-print research paper.