Modelling Gravitational Waveforms and Sources
ORAL · APR-G20 · ID: 3099864
Presentations
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High-accuracy modeling techniques for intermediate mass ratio waveform models based on perturbation theory calibrated to numerical relativity
ORAL
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Presenters
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Ritesh Bachhar
University of Rhode Island
Authors
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Ritesh Bachhar
University of Rhode Island
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Manas Vishal
University of Massachusetts Dartmouth
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Tousif Islam
University of California Santa Barbara
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Scott Field
University of Massachusetts Dartmouth
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Gaurav Khanna
University Of Rhode Island, University of Rhode Island
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Lorena M Magaña Zertuche
Niels Bohr Institute, Niels Bohr International Academy, University of Copenhagen
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Vijay Varma
University of Massachusetts, Dartmouth
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Scott A Hughes
Massachusetts Institute of Technology
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Shifted geodesic scheme for computing asymptotic GW fluxes from a spinning body
ORAL
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Presenters
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Lisa Valerie Drummond
California Institute of Technology
Authors
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Lisa Valerie Drummond
California Institute of Technology
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Scott A Hughes
Massachusetts Institute of Technology
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An Efficient Implementation of the Chimera: Approximate Waveforms for Extreme-Mass-Ratio Inspirals
ORAL
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Publication: Keeble, Cárdenas-Avendaño, 2024, (In preparation).
Presenters
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Lennox S Keeble
Princeton University
Authors
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Lennox S Keeble
Princeton University
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Alejandro Cárdenas-Avendaño
Computational Physics and Methods & Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos National Laboratory
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Neural Surrogate Model for Precessing Gravitational Waveforms from Binary Black Hole Mergers
ORAL
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Presenters
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Ashwin Girish
University of Rhode Island
Authors
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Ashwin Girish
University of Rhode Island
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Michael Pürrer
University of Rhode Island
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Enhancing Accuracy and Performance of Precessing Spin EOB Models with NRPy and BOB
ORAL
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Presenters
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Siddharth Mahesh
West Virginia University
Authors
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Siddharth Mahesh
West Virginia University
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Sean T McWilliams
West Virginia University
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Zach B Etienne
University of Idaho, U Idaho
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Gravitational wave signals from precessing and nutating binary black holes
ORAL
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Presenters
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Tamanjyot Singh
University of Texas at Dallas
Authors
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Tamanjyot Singh
University of Texas at Dallas
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Michael Kesden
University of Texas at Dallas
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Lindsay J King
University of Texas at Dallas
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Identifying spacetimes using neural networks
ORAL
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Presenters
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Estuti Shukla
Pennsylvania State University
Authors
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Estuti Shukla
Pennsylvania State University
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Building and Optimising Surrogate Models of Black Hole Merger Remnant Properties Using Neural Networks
ORAL
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Publication: Thomas et al. (in prep)
Presenters
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Lucy Thomas
LIGO Laboratory, Caltech
Authors
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Lucy Thomas
LIGO Laboratory, Caltech
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Katerina Chatziioannou
Caltech
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Vijay Varma
University of Massachusetts Dartmouth
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Scott Field
University of Massachusetts Dartmouth
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Merger-Ringdown Modeling of Gravitational Waves Beyond the Dominant Mode
ORAL
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Presenters
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Anuj Kankani
West Virginia University
Authors
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Anuj Kankani
West Virginia University
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Sean T McWilliams
West Virginia University
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