activity
20122026
most citedH0LiCOW XIII. A 2.4% measurement of from lensed quasars: tension between early and late-Universe probes

1.2k citations · 5.4k across the 76 of their papers we have counts for

collaborators

77 papers

astro-ph.CO2026

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…

astro-ph.CO2025★ 8 cited

TDCOSMO XVII. New time delays in 22 lensed quasars from optical monitoring with the ESO-VST 2.6m and MPG 2.2m telescopes

Frédéric Dux, Martin Millon, Aymeric Galan +29

We present new time delays, the main ingredient of time delay cosmography, for 22 lensed quasars resulting from high-cadence r-band monitoring on the 2.6 m ESO VLT Survey Telescope…

astro-ph.CO2024★ 12 cited

J1721+8842: The first Einstein zig-zag lens

F. Dux, M. Millon, C. Lemon +16

We report the discovery of the first example of an Einstein zig-zag lens, an extremely rare lensing configuration. In this system, J1721+8842, six images of the same background qua…

astro-ph.CO2024★ 18 cited

TDCOSMO. XVI. Measurement of the Hubble Constant from the Lensed Quasar WGD20384008

Kenneth C. Wong, Frédéric Dux, Anowar J. Shajib +17

Time-delay cosmography is a powerful technique to constrain cosmological parameters, particularly the Hubble constant (). The TDCOSMO collaboration is performing an ongoing…

astro-ph.GA2023

VarIabiLity seLection of AstrophysIcal sources iN PTF (VILLAIN) II. Supervised classification of variable sources

S. H. Bruun, J. Hjorth, A. Agnello

Context. Large, high-dimensional astronomical surveys require efficient data analysis. Automatic fitting of lightcurve variability and machine learning may assist in identification…

astro-ph.GA2023

VarIabiLity seLection of AstrophysIcal sources iN PTF (VILLAIN) I. Structure function fits to 71 million objects

S. H. Bruun, A. Agnello, J. Hjorth

Context. Lightcurve variability is well-suited for characterising objects in surveys with high cadence and long baseline. This is especially relevant in view of the large datasets…