18 citations · 41 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
TEGLIE: Transformer encoders as strong gravitational lens finders in KiDS
Margherita Grespan, Hareesh Thuruthipilly, Agnieszka Pollo +3
We apply a state-of-the-art transformer algorithm to 221 deg of the Kilo Degree Survey (KiDS) to search for new strong gravitational lenses (SGL). We test four transformer enco…
Transformers as Strong Lens Detectors- From Simulation to Surveys
Hareesh Thuruthipilly, Margherita Grespan, Adam Zadrożny
With the upcoming large-scale surveys like LSST, we expect to find approximately strong gravitational lenses among data of many orders of magnitude larger. In this scenario,…