Astrophysics III
FOCUS · H02 · ID: 3052398
Presentations
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Black Hole Discovery with Machine Learning
ORAL · Invited
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Presenters
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Gordon Richards
Drexel University
Authors
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Gordon Richards
Drexel University
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Census of Black Hole Accretion Structure and Mass
ORAL · Invited
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Publication: Homayouni, Y., Yuanzhe Jiang, Brandt, W. N., et al., 2024, "The Sloan Digital Sky Survey Reverberation Mapping Project: Insights on Maximizing Efficiency in Lag Measurements and Black-Hole Masses'', Submitted to ApJ
Shen, Y., Grier, C. J., Horne, K., et al. "The Sloan Digital Sky Survey Reverberation Mapping Project: Key Results", ApJ 272, 26
Homayouni, Y., Trump, J. R., Grier, C. J., et al. 2020, "The Sloan Digital Sky Survey Reverberation Mapping Project: MgII Lag Results from Four years of Monitoring", ApJ, 901, 55Presenters
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Yasaman Homayouni
Penn State University
Authors
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Yasaman Homayouni
Penn State University
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Yuanzhe Jiang
University of Illinois Urbana-Champaign
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William Nielsen Brandt
Pennsylvania State University
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Yue Shen
University of Illinois at Urbana-Champaign
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Catherine Grier
University of Wisconsin-Madison
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Jonathan Trump
University of Connecticut
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Keith Horne
University of St Andrews
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Patrick Hall
York University
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From Galaxy Shapes to Cosmological Constraints: Forecasts for the LSST Dark Energy Science Collaboration
ORAL
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Presenters
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Joseph A Santos
Rutgers University
Authors
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Joseph A Santos
Rutgers University
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Heather Prince
Rutgers University
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Eric J Gawiser
Rutgers University
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Exploring How Fossil Magnetic Fields Can Influence Massive Star Evolution
ORAL
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Presenters
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Shaquann Saddat Seadrow
University of Delaware
Authors
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Shaquann Saddat Seadrow
University of Delaware
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Veronique Petit
Department of Physics and Astronomy, University of Delaware, University of Delaware
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Zsolt Keszthelyi
Center for Computational Astrophysics, Division of Science, National Astronomical Observatory of Japan
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James MacDonald
Department of Physics and Astronomy, University of Delaware
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Gregg Wade
Royal Military College of Canada, Canada
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