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20162026
most citedFinding Strong Gravitational Lenses in the Kilo Degree Survey with Convolutional Neural Networks

187 citations · 1.2k across the 42 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

astro-ph.IM2022★ 32 cited

Using wavelets to capture deviations from smoothness in galaxy-scale strong lenses

Aymeric Galan, Georgios Vernardos, Austin Peel +2

Modeling the mass distribution of galaxy-scale strong gravitational lenses is a task of increasing difficulty. The high-resolution and depth of imaging data now available render si…

astro-ph.IM2022

Rubin-Euclid Derived Data Products: Initial Recommendations

Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117

This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…