Deep learning approach for identification of H ii regions during reionization in 21-cm observations - II. Foreground contamination - Bianco, Michele; Giri, Sambit K; Prelogović, David; Chen, Tianyue; Mertens, Florent G; Tolley, Emma; Mesinger, Andrei; Kneib, Jean-Paul (Monthly notices of the Royal Astronomical Society, 2024)
Keywords: Artificial neural networks; Contamination; dark ages; Deep learning; early Universe; first stars; Gaussian process; H II regions; Image contrast; Image enhancement; Infrared telescopes; Ionization; Machine learning; Neural networks; Noise prediction; Polynomials; Principal components analysis; Red shift; reionization; Signal classification; Statistical analysis; Statistical methods; techniques: image processing; techniques: interferometric; early Universe; techniques: image processing; techniques: interferometric; dark ages, reionization, first stars