14 citations · 16 across the 2 of their papers we have counts for
2 papers
astro-ph.GA2023★ 2 cited
Accelerating galaxy dynamical modeling using a neural network for joint lensing and kinematics analyses
Matthew R. Gomer, Sebastian Ertl, Luca Biggio +6
Strong gravitational lensing is a powerful tool to provide constraints on galaxy mass distributions and cosmological parameters, such as the Hubble constant, . Nevertheless, i…
astro-ph.CO2022★ 14 cited
TDCOSMO VIII: A key test of systematics in the hierarchical method of time-delay cosmography
Matthew R. Gomer, Dominique Sluse, Lyne Van de Vyvere +2
The largest source of systematic errors in the time-delay cosmography method likely arises from the lens model mass distribution, where an inaccurate choice of model could in princ…