18 citations · 41 across the 7 of their papers we have counts for
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astro-ph.GA2025★ 3 cited
Automated quasar continuum estimation using neural networks: a comparative study of deep-learning architectures
Francesco Pistis, Michele Fumagalli, Matteo Fossati +13
Context. Ongoing and upcoming large spectroscopic surveys are drastically increasing the number of observed quasar spectra, requiring the development of fast and accurate automated…
astro-ph.CO2025★ 2 cited
Investigating the Redshift Evolution of Lensing Galaxy Density Slopes via Model-Independent Distance Ratios
Shuaibo Geng, Margherita Grespan, Hareesh Thuruthipilly +3
Strong lensing systems, expected to be abundantly discovered by next-generation surveys, offer a powerful tool for studying cosmology and galaxy evolution. The connection between g…