240 citations · 3.3k across the 87 of their papers we have counts for
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VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features
S. Satheesh-Sheeba, P. Sánchez-Sáez, R. J. Assef +39
Photometric redshift estimation for active galactic nuclei (AGNs) remains a fundamental challenge for current and upcoming large-scale photometric surveys. Traditional spectral ene…
Constraining the Physical Properties of Quadruply Lensed Quasars using Optical-to-X-Ray Data
Kriti Kamal Gupta, Dominique Sluse, Maarten Baes +5
Gravitational lensing of luminous active galactic nuclei (AGN; or quasars) can be used as a natural telescope to zoom in on their inner structures. With more and more lensed AGN be…
VAR-PZ: Constraining the Photometric Redshifts of Quasars using Variability
S. Satheesh-Sheeba, R. J. Assef, T. Anguita +33
The Vera C. Rubin Observatory LSST is expected to discover tens of millions of new Active Galactic Nuclei (AGNs). The survey's exceptional cadence and sensitivity will enable UV/op…
Simulating quasar microlensing light curves: High magnification events
Favio Neira, Timo Anguita, Georgios Vernardos
Quasar microlensing can be used to constrain important astrophysical properties, such as the accretion disk size and the amount of stars in the lensing galaxy. The associated brigh…
Predicting High-magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks
Joshua Fagin, Eric Paic, Favio Neira +6
Upcoming widefield surveys, such as the Rubin Observatory's Legacy Survey of Space and Time (LSST), will monitor thousands of strongly lensed quasars over a 10 yr period. Many of t…
Microlensing near macro-caustics
Luke Weisenbach, Timo Anguita, Jordi Miralda-Escudé +3
Microlensing near macro-caustics is a complex phenomenon in which swarms of micro-images produced by micro-caustics form on both sides of a macro-critical curve. Recent discoveries…