From the 1 of 4 linked papers with an AI index.
2 citations · 2 across the 1 of their papers we have counts for
4 papers
Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale
Sydney Erickson, Martin Millon, Padmavathi Venkatraman +12
The paper presents a scalable hierarchical inference framework to jointly analyze hundreds of strongly lensed AGN time delays from LSST, forecasting a ~2.5% measurement of H0 and a…
Lens Model Accuracy in the Expected LSST Lensed AGN Sample
Padmavathi Venkatraman, Sydney Erickson, Phil Marshall +13
Strong gravitational lensing of active galactic nuclei (AGN) enables measurements of cosmological parameters through time-delay cosmography (TDC). With data from the upcoming LSST…
Lens Modeling of STRIDES Strongly Lensed Quasars using Neural Posterior Estimation
Sydney Erickson, Sebastian Wagner-Carena, Phil Marshall +9
Strongly lensed quasars can be used to constrain cosmological parameters through time-delay cosmography. Models of the lens masses are a necessary component of this analysis. To en…
Correcting for Selection Biases in the Determination of the Hubble Constant from Time-Delay Cosmography
Tian Li, Thomas E. Collett, Philip J. Marshall +4
The time delay between multiple images of strongly lensed quasars has been used to infer the Hubble constant. The primary systematic uncertainty for time-delay cosmography is the m…