Searching for Strong Lenses from DESI Legacy Surveys with a Hybrid CNN-Transformer Architecture with Self-supervised Learning
Sign Up to like & getrecommendations! Published in 2025 at "Publications of the Astronomical Society of the Pacific"
DOI: 10.1088/1538-3873/ade400
Abstract: Strong gravitational lensing is a valuable tool for studying the mass distributions and structural evolution of galaxies over cosmic time. However, the rarity and complexity of strong lenses necessitate the development of automatic and efficient… read more here.
Keywords: strong lenses; self supervised; supervised learning; transformer ... See more keywords
CSST Strong Lensing Preparation: Fast Modelling of Galaxy-Galaxy Strong Lenses in the Big Data Era
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DOI: 10.1093/mnras/staf891
Abstract: Galaxy-galaxy strong lensing provides a powerful probe of galaxy formation, evolution, and the properties of dark matter and dark energy. However, conventional lens-modelling approaches are computationally expensive and require fine-tuning to avoid local optima, rendering… read more here.
Keywords: strong lenses; galaxy; big data; strong lensing ... See more keywords
Finding strong lenses in CFHTLS using convolutional neural networks
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DOI: 10.1093/mnras/stx1492
Abstract: We train and apply convolutional neural networks, a machine learning technique developed to learn from and classify image data, to Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) imaging for the identification of potential strong lensing systems. An… read more here.
Keywords: strong lenses; neural networks; survey; finding strong ... See more keywords