400 citations · 3.3k across the 37 of their papers we have counts for
32 papers
NuSTAR Observations of Candidate Subparsec Binary Supermassive Black Holes
M. Lynne Saade, Murray Brightman, Daniel Stern +12
We present analysis of NuSTAR X-ray observations of three AGN that were identified as candidate subparsec binary supermassive black hole (SMBH) systems in the Catalina Real-Time Tr…
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…
Effects of an Immortal Stellar Population in AGN Disks
Adam S. Jermyn, Alexander J. Dittmann, B. McKernan +2
Stars are likely embedded in the gas disks of Active Galactic Nuclei (AGN). Theoretical models predict that in the inner regions of the disk these stars accrete rapidly, with fresh…
GW190521 as a black-hole merger coincident with the ZTF19abanrhr flare
Juan Calderón Bustillo, Samson H. W. Leong, Koustav Chandra +2
We present an analysis that reconciles the gravitational-wave signal GW190521 observed by the Advanced LIGO and Advanced Virgo detectors with the electromagnetic flare ZTF19abanrhr…
LIGO--Virgo correlations between mass ratio and effective inspiral spin: testing the active galactic nuclei channel
B. McKernan, K. E. S. Ford, T. Callister +5
Observations by LIGO--Virgo of binary black hole mergers suggest a possible anti-correlation between black hole mass ratio () and the effective inspiral spin paramet…
Predicting the spectrum of UGC 2885, Rubin's Galaxy with machine learning
Benne W. Holwerda, John F. Wu, William C. Keel +10
Wu & Peek (2020) predict SDSS-quality spectra based on Pan-STARRS broad-band \textit{grizy} images using machine learning (ML). In this letter, we test their prediction for a uniqu…