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no code implementations • 25 Feb 2021 • Brendan Keith, Akshay Khadse, Scott E. Field

We introduce a gravitational waveform inversion strategy that discovers mechanical models of binary black hole (BBH) systems.

no code implementations • 9 Oct 2020 • Dwyer S. Deighan, Scott E. Field, Collin D. Capano, Gaurav Khanna

Gravitational-wave detection strategies are based on a signal analysis technique known as matched filtering.

2 code implementations • 22 May 2019 • Vijay Varma, Scott E. Field, Mark A. Scheel, Jonathan Blackman, Davide Gerosa, Leo C. Stein, Lawrence E. Kidder, Harald P. Pfeiffer

The final black hole model, \RemnantModel, models the mass, spin, and recoil kick velocity of the remnant black hole.

General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena

2 code implementations • 9 Apr 2019 • Michael Boyle, Daniel Hemberger, Dante A. B. Iozzo, Geoffrey Lovelace, Serguei Ossokine, Harald P. Pfeiffer, Mark A. Scheel, Leo C. Stein, Charles J. Woodford, Aaron B. Zimmerman, Nousha Afshari, Kevin Barkett, Jonathan Blackman, Katerina Chatziioannou, Tony Chu, Nicholas Demos, Nils Deppe, Scott E. Field, Nils L. Fischer, Evan Foley, Heather Fong, Alyssa Garcia, Matthew Giesler, Francois Hebert, Ian Hinder, Reza Katebi, Haroon Khan, Lawrence E. Kidder, Prayush Kumar, Kevin Kuper, Halston Lim, Maria Okounkova, Teresita Ramirez, Samuel Rodriguez, Hannes R. Rüter, Patricia Schmidt, Bela Szilagyi, Saul A. Teukolsky, Vijay Varma, Marissa Walker

Accurate models of gravitational waves from merging black holes are necessary for detectors to observe as many events as possible while extracting the maximum science.

General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena

1 code implementation • 19 Dec 2018 • Vijay Varma, Scott E. Field, Mark A. Scheel, Jonathan Blackman, Lawrence E. Kidder, Harald P. Pfeiffer

We present NRHybSur3dq8, a surrogate model for hybridized nonprecessing numerical relativity waveforms, that is valid for the entire LIGO band (starting at $20~\text{Hz}$) for stellar mass binaries with total masses as low as $2. 25\, M_{\odot}$.

General Relativity and Quantum Cosmology

1 code implementation • 24 Aug 2018 • Prayush Kumar, Jonathan Blackman, Scott E. Field, Mark Scheel, Chad R. Galley, Michael Boyle, Lawrence E. Kidder, Harald P. Pfeiffer, Bela Szilagyi, Saul A. Teukolsky

In this paper we demonstrate the viability of these surrogate models as reliable parameter estimation tools, and show that within a fully Bayesian framework surrogates can help us extract more information from gravitational wave observations than traditional models.

General Relativity and Quantum Cosmology 83C57, 83C35 J.2

1 code implementation • 16 May 2018 • Harbir Antil, Dangxing Chen, Scott E. Field

While the proper orthogonal decomposition (POD) is optimal under certain norms it's also expensive to compute.

Distributed, Parallel, and Cluster Computing General Relativity and Quantum Cosmology Numerical Analysis

1 code implementation • 19 May 2017 • Jonathan Blackman, Scott E. Field, Mark A. Scheel, Chad R. Galley, Christian D. Ott, Michael Boyle, Lawrence E. Kidder, Harald P. Pfeiffer, Béla Szilágyi

A generic, non-eccentric binary black hole (BBH) system emits gravitational waves (GWs) that are completely described by 7 intrinsic parameters: the black hole spin vectors and the ratio of their masses.

General Relativity and Quantum Cosmology

no code implementations • 2 Jan 2017 • Jonathan Blackman, Scott E. Field, Mark A. Scheel, Chad R. Galley, Daniel A. Hemberger, Patricia Schmidt, Rory Smith

We present the first surrogate model for gravitational waveforms from the coalescence of precessing binary black holes.

General Relativity and Quantum Cosmology

no code implementations • 16 Aug 2013 • Scott E. Field, Chad R. Galley, Jan S. Hesthaven, Jason Kaye, Manuel Tiglio

Our approach is based on three offline steps resulting in an accurate reduced-order model that can be used as a surrogate for the true/fiducial waveform family.

General Relativity and Quantum Cosmology Computational Engineering, Finance, and Science

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