From the 1 of 26 linked papers with an AI index.
2 citations · 2 across the 2 of their papers we have counts for
26 papers
Cosmic CORALS: Timing the Universe with high-z star clusters
Elena Tomasetti, Martin Millon, Licia Verde +5
In this work, we explore the potential of anchoring the age-redshift relation across cosmic time by probing the oldest star clusters at high redshift, now observed thanks to the Ja…
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…
TDCOSMO XXV: A "soup-to-nuts" 6.5% measurement strong lensing and dynamics with a maximally flexible mass sheet
William Sheu, Tommaso Treu, Martin Millon +16
We present a blind time-delay cosmography measurement of the Hubble constant based on the quadruply imaged quasar SDSSJ1433+6007. Our analysis combines deep Hubble Space Tele…
TDCOSMO XXVI: Uniform lens modeling of eight doubly imaged quasars
Ryan Brady, Xiang-Yu Huang, Simon Birrer +7
We present the first uniform gravitational lens modeling analysis of eight doubly imaged quasars from multi-band observations with the Hubble Space Telescope. Previous time-delay c…
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
Euclid Collaboration, S. H. Vincken, K. Rojas +302
We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…
Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification
Euclid Collaboration, X. Xu, R. Chen +308
We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy lensing systems, applied to the Euclid Q1 imaging data. Starting from VIS catalog…