11 citations · 15 across the 6 of their papers we have counts for
6 papers · 1 filter
Improving Lens Modelling from Ground-Based Imaging with Deconvolution
Eric Paic, Kenneth C. Wong, Anupreeta More +1
Accurate and precise mass modelling of strong lensing systems is essential for extracting insights into cosmology, galaxy environments, and the nature of dark matter. The Hyper Sup…
Supernova 2025wny: High-angular resolution Keck/NIRC2 observations and preliminary lens modeling
Christopher J. Storfer, Kenneth C. Wong, Ana Acebron +10
Multiply imaged, gravitationally lensed supernovae are rare but powerful tools for providing independent measurements on cosmological parameters. Supernova (SN) 2025wny ("SN Winny"…
Combining neural networks with galaxy light subtraction for discovering strong lenses in the HSC SSP
Yuichiro Ishida, Kenneth C. Wong, Anton T. Jaelani +1
Galaxy-scale strong gravitational lenses are valuable objects for a variety of astrophysical and cosmological applications. Strong lensing galaxies are rare, so efficient search me…
Systematic comparison of neural networks used in discovering strong gravitational lenses
Anupreeta More, Raoul Canameras, Anton T. Jaelani +6
Efficient algorithms are being developed to search for strong gravitational lens systems owing to increasing large imaging surveys. Neural networks have been successfully used to d…
Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI) X. Strong Lens Finding in The HSC-SSP using Convolutional Neural Networks
Anton T. Jaelani, Anupreeta More, Kenneth C. Wong +4
We apply a novel model based on convolutional neural networks (CNNs) to identify gravitationally-lensed galaxies in multi-band imaging of the Hyper Suprime Cam Subaru Strategic Pro…
A Bayesian Approach to Strong Lens Finding in the Era of Wide-area Surveys
Philip Holloway, Philip J. Marshall, Aprajita Verma +5
The arrival of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), Euclid-Wide and Roman wide area sensitive surveys will herald a new era in strong lens scienc…