activity
20222026
most citedLatent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties

13 citations · 37 across the 11 of their papers we have counts for

collaborators

12 papers

math.CO2026

On the sum of eccentric subgraph numbers of the vertices of a connected graph

Akash De, Kamal Lochan Patra

Let be a connected graph. The eccentric subgraph number of a vertex of is defined as , where is the number of connec…

astro-ph.CO2026

SLSim: a strong lensing population simulation package

Narayan Khadka, Simon Birrer, Henry Best +45

Gravitational lensing offers unique insights into cosmology by bending light around massive objects. Strong gravitational lensing, in particular, produces magnified and often multi…

astro-ph.HE2025★ 3 cited

The Advanced X-ray Imaging Satellite (AXIS) Community Science Book

Michael Koss, Nafisa Aftab, Steven W. Allen +395

The AXIS Community Science Book represents the collective effort of 592 scientists worldwide to define the transformative science enabled by the Advanced X-ray Imaging Satellite (A…

astro-ph.CO2025

Analyzing Line-of-sight selection biases in galaxy-scale strong lensing with external convergence and shear

Xianzhe TZ Tang, Simon Birrer, Anowar J. Shajib +3

The upcoming Vera Rubin Observatory Legacy Survey of Space and Time (LSST) will dramatically increase the number of strong gravitational lensing systems, requiring precise modeling…

astro-ph.HE2025

Evolution of LISA Observables for Binary Black Holes Lensed by an SMBH

Jake Postiglione, K. E. Saavik Ford, Henry Best +2

Binary black holes (BBH) are expected to form and merge in active galactic nuclei (AGN), deep in the potential well of a supermassive black hole (SMBH), from populations that exist…

astro-ph.GA2024★ 2 cited

Amoeba: An AGN Model of Optical Emissions Beyond steady-state Accretion discs

Henry Best, Matthew O'Dowd, Joshua Fagin +2

Active Galactic Nuclei (AGN) are objects located in the heart of galaxies which emit powerful and complex radiation across the electromagnetic spectrum. Understanding AGN has becom…

astro-ph.GA2024★ 4 cited

Joint Modeling of Quasar Variability and Accretion Disk Reprocessing using Latent Stochastic Differential Equations

Joshua Fagin, James Hung-Hsu Chan, Henry Best +5

Quasars are bright active galactic nuclei powered by the accretion of matter around supermassive black holes at the center of galaxies. Their stochastic brightness variability depe…

astro-ph.GA2024

Reverberation Mapping of Lamp-post and Wind Structures in Accretion Thin Disks

James Hung-Hsu Chan, Joshua Fagin, Henry Best +1

To address the discrepancy where disk sizes exceed those predicted by standard models, we explore two extensions to disk size estimates within the UV/optical wavelength range: disk…

astro-ph.GA2024★ 2 cited

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…

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.GA2022★ 10 cited

Resolving the Vicinity of Supermassive Black Holes with Gravitational Microlensing

Henry Best, Joshua Fagin, Georgios Vernardos +1

In the near future, wide field surveys will discover 1000's of new strongly lensed quasars, and these will be monitored with unprecedented cadence by the Legacy Survey of Space and…

astro-ph.IM2022★ 3 cited

From Data to Software to Science with the Rubin Observatory LSST

Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford +97

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the…