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Natural Sciences and Engineering Research Council of Canada
Maximizing Science Output of LIGO: Improved Detectors and Data Analysis

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Evaluating radiation transport errors in merger simulations using a Monte Carlo algorithm
descriptionPublicationkeyboard_double_arrow_right Article , Preprint 2018 United States American Physical Society (APS) NSERC, NSF | MRI-R2: Acquisition of a ..., NSF | Numerical Simulations of ... +3 projects
NSERC ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Numerical Simulations of Compact Neutron Star Binary Mergers ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Gravitational Radiation and Relativistic Astrophysics
Authors: Francois Foucart; Matthew D. Duez; Lawerence E. Kidder; Ronny Nguyen; +2 Authors
Francois Foucart; Matthew D. Duez; Lawerence E. Kidder; Ronny Nguyen; Harald P. Pfeiffer; Mark A. Scheel;
doi: 10.1103/physrevd.98.063007 , 10.48550/arxiv.1806.02349
handle: 21.11116/0000-0001-DC1A-B , 21.11116/0000-0001-DC1C-9 , 21.11116/0000-0002-4A8F-B
doi: 10.1103/physrevd.98.063007 , 10.48550/arxiv.1806.02349
handle: 21.11116/0000-0001-DC1A-B , 21.11116/0000-0001-DC1C-9 , 21.11116/0000-0002-4A8F-B
Neutrino-matter interactions play an important role in the post-merger evolution of neutron star-neutron star and black hole-neutron star mergers. Most notably, they determine the properties of the bright optical/infrared transients observable after a merger. Unfortunately, Boltzmann's equations of radiation transport remain too costly to be evolved directly in merger simulations. Simulations rely instead on approximate transport algorithms with unquantified modeling errors. In this paper, we use for the first time a time-dependent general relativistic Monte-Carlo (MC) algorithm to solve Boltzmann's equations and estimate important properties of the neutrino distribution function ~10ms after a neutron star merger. We do not fully couple the MC algorithm to the fluid evolution, but use a short evolution of the merger remnant to critically assess errors in our approximate gray two-moment transport scheme. We demonstrate that the analytical closure used by the moment scheme is highly inaccurate in the polar regions, but performs well elsewhere. While the average energy of polar neutrinos is reasonably well captured by the two-moment scheme, estimates for the neutrino energy become less accurate at lower latitudes. The two-moment formalism also overestimates the density of neutrinos in the polar regions by ~50%, and underestimates the neutrino pair-annihilation rate at the poles by factors of 2-3. Although the latter is significantly more accurate than one might have expected before this study, our results indicate that predictions for the properties of polar outflows and for the creation of a baryon-free region at the poles are likely to be affected by errors in the two-moment scheme, thus limiting our ability to reliably model kilonovae and gamma-ray bursts. Comment: 15 pages, 10 figures
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Article . 2018
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Preprint . 2018
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Article . 2018
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https://link.aps.org/accepted/...
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Article . 2018
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Article . 2018
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Article . 2018
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Preprint . 2018
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https://link.aps.org/accepted/...
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Binary black-hole simulation SXS:BBH:1667
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Leadership Class Scientif..., NSERC, NSF | Gravitational Radiation a... +5 projects
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSERC ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NWO| Precision Gravity: black holes, spins and gravitational waves
Authors: Matt Giesler; SXS Collaboration;
Matt Giesler; SXS Collaboration;
doi: 10.5281/zenodo.3307346
doi: 10.5281/zenodo.3307346
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0894
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Leadership Class Scientif..., NSF | Collaborative Research: T..., NSERC +10 projects
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| Collaborative Research: Theoretical-Computational Network for Extracting Astrophysics and Fundamental Physics from Multi-Messenger Observations of Compact Objects ,
NSERC ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| CAREER: General Relativistic Modeling of Stellar Death for Advanced LIGO Multi-Messenger Astrophysics ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Collaborative Research: Petascale Simulations of Core-Collapse Supernovae and Hypermassive Neutron Stars
Authors: SXS Collaboration;
SXS Collaboration;
doi: 10.5281/zenodo.1237267
doi: 10.5281/zenodo.1237267
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0125
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Gravitational Radiation a..., NSF | Gravitational Radiation a..., NSF | Collaborative Research: D... +11 projects
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Collaborative Research: Developing Spectral Methods for Numerical Solution of Einstein's Equations ,
NSF| Collaborative Research: Developing Spectral Methods for Numerical Solution of Einstein's Equations ,
NSF| Research in Black-Hole Physics and Relativistic Astrophysics ,
NSF| FRG: Collaborative Research: Error Quantification and Control for Gravitational Waveform Simulation ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSERC ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering
Authors: Kidder, Larry; Lovelace, Geoffrey; Hemberger, Dan; Pfeiffer, Harald; +6 Authors
Kidder, Larry; Lovelace, Geoffrey; Hemberger, Dan; Pfeiffer, Harald; Boyle, Michael; Scheel, Mark; Mroue, Abdul; Taylor, Nicholas; Szilagyi, Bela; Zenginoglu, Anil;
doi: 10.5281/zenodo.3312890
doi: 10.5281/zenodo.3312890
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0430
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Gravitational Radiation a..., NSF | Leadership Class Scientif..., NWO | Precision Gravity: black ... +9 projects
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| MRI: Acquisition of a High-Performance Computer Cluster for Gravitational-Wave Astronomy with Advanced LIGO ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Collaborative Research: Petascale Simulations of Core-Collapse Supernovae and Hypermassive Neutron Stars ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSERC ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering
Authors: SXS Collaboration;
SXS Collaboration;
doi: 10.5281/zenodo.1236568
doi: 10.5281/zenodo.1236568
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:1853
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Maximizing Scientific Out..., NSF | Collaborative Research: P..., NSF | Gravitational Radiation a... +5 projects
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSERC ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NWO| Precision Gravity: black holes, spins and gravitational waves
Authors: SXS Collaboration;
SXS Collaboration;
doi: 10.5281/zenodo.2602252
doi: 10.5281/zenodo.2602252
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0997
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | CAREER: General Relativis..., NSF | Collaborative Research: T..., NSF | Leadership Class Scientif... +10 projects
NSF| CAREER: General Relativistic Modeling of Stellar Death for Advanced LIGO Multi-Messenger Astrophysics ,
NSF| Collaborative Research: Theoretical-Computational Network for Extracting Astrophysics and Fundamental Physics from Multi-Messenger Observations of Compact Objects ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Collaborative Research: Petascale Simulations of Core-Collapse Supernovae and Hypermassive Neutron Stars ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSERC ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering
Authors: Giesler, Matt; SXS Collaboration;
Giesler, Matt; SXS Collaboration;
doi: 10.5281/zenodo.1237154
doi: 10.5281/zenodo.1237154
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0460
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSERC, NSF | Sustained-Petascale In Ac..., NSF | Gravitational Radiation a... +9 projects
NSERC ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| MRI: Acquisition of a High-Performance Computer Cluster for Gravitational-Wave Astronomy with Advanced LIGO ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Collaborative Research: Petascale Simulations of Core-Collapse Supernovae and Hypermassive Neutron Stars ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits
Authors: SXS Collaboration;
SXS Collaboration;
doi: 10.5281/zenodo.3317701
doi: 10.5281/zenodo.3317701
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0882
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | CAREER: General Relativis..., NSERC, NSF | Collaborative Research: T... +10 projects
NSF| CAREER: General Relativistic Modeling of Stellar Death for Advanced LIGO Multi-Messenger Astrophysics ,
NSERC ,
NSF| Collaborative Research: Theoretical-Computational Network for Extracting Astrophysics and Fundamental Physics from Multi-Messenger Observations of Compact Objects ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Collaborative Research: Petascale Simulations of Core-Collapse Supernovae and Hypermassive Neutron Stars
Authors: SXS Collaboration;
SXS Collaboration;
doi: 10.5281/zenodo.1236965
doi: 10.5281/zenodo.1236965
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0309
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Leadership Class Scientif..., NSF | Maximizing Science Output..., NSERC +6 projects
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSERC ,
NWO| Inkomsten op project 06592: Fibers as safety marker in security paper ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars
Authors: SXS Collaboration;
SXS Collaboration;
doi: 10.5281/zenodo.1236778
doi: 10.5281/zenodo.1236778
Simulation of a black-hole binary system evolved by the SpEC code.
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Evaluating radiation transport errors in merger simulations using a Monte Carlo algorithm
descriptionPublicationkeyboard_double_arrow_right Article , Preprint 2018 United States American Physical Society (APS) NSERC, NSF | MRI-R2: Acquisition of a ..., NSF | Numerical Simulations of ... +3 projects
NSERC ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Numerical Simulations of Compact Neutron Star Binary Mergers ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Gravitational Radiation and Relativistic Astrophysics
Authors: Francois Foucart; Matthew D. Duez; Lawerence E. Kidder; Ronny Nguyen; +2 Authors
Francois Foucart; Matthew D. Duez; Lawerence E. Kidder; Ronny Nguyen; Harald P. Pfeiffer; Mark A. Scheel;
doi: 10.1103/physrevd.98.063007 , 10.48550/arxiv.1806.02349
handle: 21.11116/0000-0001-DC1A-B , 21.11116/0000-0001-DC1C-9 , 21.11116/0000-0002-4A8F-B
doi: 10.1103/physrevd.98.063007 , 10.48550/arxiv.1806.02349
handle: 21.11116/0000-0001-DC1A-B , 21.11116/0000-0001-DC1C-9 , 21.11116/0000-0002-4A8F-B
Neutrino-matter interactions play an important role in the post-merger evolution of neutron star-neutron star and black hole-neutron star mergers. Most notably, they determine the properties of the bright optical/infrared transients observable after a merger. Unfortunately, Boltzmann's equations of radiation transport remain too costly to be evolved directly in merger simulations. Simulations rely instead on approximate transport algorithms with unquantified modeling errors. In this paper, we use for the first time a time-dependent general relativistic Monte-Carlo (MC) algorithm to solve Boltzmann's equations and estimate important properties of the neutrino distribution function ~10ms after a neutron star merger. We do not fully couple the MC algorithm to the fluid evolution, but use a short evolution of the merger remnant to critically assess errors in our approximate gray two-moment transport scheme. We demonstrate that the analytical closure used by the moment scheme is highly inaccurate in the polar regions, but performs well elsewhere. While the average energy of polar neutrinos is reasonably well captured by the two-moment scheme, estimates for the neutrino energy become less accurate at lower latitudes. The two-moment formalism also overestimates the density of neutrinos in the polar regions by ~50%, and underestimates the neutrino pair-annihilation rate at the poles by factors of 2-3. Although the latter is significantly more accurate than one might have expected before this study, our results indicate that predictions for the properties of polar outflows and for the creation of a baryon-free region at the poles are likely to be affected by errors in the two-moment scheme, thus limiting our ability to reliably model kilonovae and gamma-ray bursts. Comment: 15 pages, 10 figures
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Article . 2018
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Preprint . 2018
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Article . 2018
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https://link.aps.org/accepted/...
Article
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https://doi.org/10.1103/physre...
Article . 2018
License: https://link.aps.org/licenses/aps-default-license
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Article . 2018
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Article . 2018
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Preprint . 2018
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Article . 2018
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https://link.aps.org/accepted/...
Article
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https://doi.org/10.1103/physre...
Article . 2018
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Binary black-hole simulation SXS:BBH:1667
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Leadership Class Scientif..., NSERC, NSF | Gravitational Radiation a... +5 projects
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSERC ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NWO| Precision Gravity: black holes, spins and gravitational waves
Authors: Matt Giesler; SXS Collaboration;
Matt Giesler; SXS Collaboration;
doi: 10.5281/zenodo.3307346
doi: 10.5281/zenodo.3307346
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0894
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Leadership Class Scientif..., NSF | Collaborative Research: T..., NSERC +10 projects
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| Collaborative Research: Theoretical-Computational Network for Extracting Astrophysics and Fundamental Physics from Multi-Messenger Observations of Compact Objects ,
NSERC ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| CAREER: General Relativistic Modeling of Stellar Death for Advanced LIGO Multi-Messenger Astrophysics ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Collaborative Research: Petascale Simulations of Core-Collapse Supernovae and Hypermassive Neutron Stars
Authors: SXS Collaboration;
SXS Collaboration;
doi: 10.5281/zenodo.1237267
doi: 10.5281/zenodo.1237267
Simulation of a black-hole binary system evolved by the SpEC code.
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Binary black-hole simulation SXS:BBH:0125
Research datakeyboard_double_arrow_right Dataset 2019Zenodo NSF | Gravitational Radiation a..., NSF | Gravitational Radiation a..., NSF | Collaborative Research: D... +11 projects
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Collaborative Research: Developing Spectral Methods for Numerical Solution of Einstein's Equations ,
NSF| Collaborative Research: Developing Spectral Methods for Numerical Solution of Einstein's Equations ,
NSF| Research in Black-Hole Physics and Relativistic Astrophysics ,
NSF| FRG: Collaborative Research: Error Quantification and Control for Gravitational Waveform Simulation ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSERC ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering
Authors: Kidder, Larry; Lovelace, Geoffrey; Hemberger, Dan; Pfeiffer, Harald; +6 Authors
Kidder, Larry; Lovelace, Geoffrey; Hemberger, Dan; Pfeiffer, Harald; Boyle, Michael; Scheel, Mark; Mroue, Abdul; Taylor, Nicholas; Szilagyi, Bela; Zenginoglu, Anil;
doi: 10.5281/zenodo.3312890
doi: 10.5281/zenodo.3312890
Simulation of a black-hole binary system evolved by the SpEC code.
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Canada
Natural Sciences and Engineering Research Council of Canada
Maximizing Science Output of LIGO: Improved Detectors and Data Analysis

Evaluating radiation transport errors in merger simulations using a Monte Carlo algorithm

Binary black-hole simulation SXS:BBH:1667

Binary black-hole simulation SXS:BBH:0894

Binary black-hole simulation SXS:BBH:0125

Binary black-hole simulation SXS:BBH:0430

Binary black-hole simulation SXS:BBH:1853

Binary black-hole simulation SXS:BBH:0997

Binary black-hole simulation SXS:BBH:0460

Binary black-hole simulation SXS:BBH:0882

Binary black-hole simulation SXS:BBH:0309

Evaluating radiation transport errors in merger simulations using a Monte Carlo algorithm

Binary black-hole simulation SXS:BBH:1667

Binary black-hole simulation SXS:BBH:0894

Binary black-hole simulation SXS:BBH:0125

	citations	34
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	influence	Average
	impulse	Top 10%

	citations	0
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download	downloads	155

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Canada
Natural Sciences and Engineering Research Council of Canada
Maximizing Science Output of LIGO: Improved Detectors and Data Analysis