13 citations · 41 across the 10 of their papers we have counts for
13 papers
Modeling Multi-band Active Galactic Nuclei Lightcurves Using an Self-supervised Attentive Neural Process Network
Tzuken Shen, Chengcheng Xin, Joshua Fagin +3
With the the Legacy Survey of Space and Time (LSST), observations of tens of millions of quasars are expected. We present a machine-learning framework based on an attentive neural…
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…
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…
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…
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…
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…
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…
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…
Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong Galaxy-Galaxy Lenses with Convolutional Neural Networks
Joshua Fagin, Georgios Vernardos, Grigorios Tsagkatakis +3
Strong gravitational lensing can be used as a tool for constraining the substructure in the mass distribution of galaxies. In this study we investigate the power spectrum of dark m…
LenSiam: Self-Supervised Learning on Strong Gravitational Lens Images
Po-Wen Chang, Kuan-Wei Huang, Joshua Fagin +2
Self-supervised learning has been known for learning good representations from data without the need for annotated labels. We explore the simple siamese (SimSiam) architecture for…
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…
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…
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…