activity
20142025
most citedH0LiCOW XIII. A 2.4% measurement of from lensed quasars: tension between early and late-Universe probes

1.2k citations · 5k across the 52 of their papers we have counts for

collaborators

52 papers

astro-ph.CO2025

Constraining compact dark matter with time-varying quasar equivalent widths

Georgios Vernardos, James Hung Hsu Chan, Frederic Courbin

One of the possible explanations for dark matter is that of compact dark objects of baryonic origin, such as black holes or even planets. Accumulating evidence, including the disco…

astro-ph.GA2025★ 3 cited

Accelerating lensed quasar discovery and modeling with physics-informed variational autoencoders

Irham T. Andika, Stefan Schuldt, Sherry H. Suyu +5

Strongly lensed quasars provide valuable insights into the rate of cosmic expansion, the distribution of dark matter in foreground deflectors, and the characteristics of quasar hos…

astro-ph.CO2023

Boson Star Normal Modes

James Hung-Hsu Chan, Sergey Sibiryakov, Wei Xue

Boson stars are gravitationally bound objects that arise in ultralight dark matter models and form in the centers of galactic halos or axion miniclusters. We systematically study t…

astro-ph.GA2023★ 1 cited

Survey of Gravitationally Lensed Objects in HSC Imaging (SuGOHI). IX. Discovery of Strongly Lensed Quasar Candidates

James H. H. Chan, Kenneth C. Wong, Xuheng Ding +7

We report the discovery of new lensed quasar candidates in the imaging data of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) DR4, covering of the sk…

astro-ph.GA2023★ 13 cited

Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties

Joshua Fagin, Ji Won Park, Henry Best +6

Quasars are bright and unobscured active galactic nuclei (AGN) thought to be powered by the accretion of matter around supermassive black holes at the centers of galaxies. The temp…

astro-ph.GA2023★ 20 cited

The impact of human expert visual inspection on the discovery of strong gravitational lenses

Karina Rojas, Thomas E. Collett, Daniel Ballard +53

We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that…