11 citations · 15 across the 6 of their papers we have counts for
10 papers
TDCOSMO 2026: new insights on the Hubble tension from strong lensing time delays
TDCOSMO Collaboration, Simon Birrer, Michele Cappellari +26
We discuss the measurement of the Hubble constant () in flat cold dark matter cosmology based on the blind hierarchical analysis of 11 multiply-imaged quasars (hereafter t…
TDCOSMO 2026: A 3% measurement of the Hubble constant from strong lensing and stellar kinematics
TDCOSMO Collaboration, Simon Birrer, Michele Cappellari +26
We present cosmological constraints from 11 strongly lensed quasars with measured time delays (hereafter, the TDCOSMO-2026 sample). In addition to expanding the sample, we improve…
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…
HST imaging, pipeline modeling, and time-delay predictions of 2 triply-imaged and 15 quadruply-imaged lensed quasars
William Sheu, Tommaso Treu, Adriano Agnello +10
The Hubble tension remains a significant challenge in modern cosmology, exhibiting a discrepancy between early-Universe cosmic microwave background measurements and local distance…
TDCOSMO XXV: Measuring H0 to 6.5% precision with quasar strong lensing and maximally flexible mass-sheet dynamics
William Sheu, Tommaso Treu, Martin Millon +16
We present a blind time-delay cosmography measurement of the Hubble-Lemaître constant based on the quadruply imaged quasar SDSSJ1433+6007. Our analysis combines deep Hubble S…
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…