Articles with "numerical relativity" as a keyword



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Eccentricity estimate for black hole mergers with numerical relativity simulations

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Published in 2022 at "Nature Astronomy"

DOI: 10.1038/s41550-021-01568-w

Abstract: The origin of black hole mergers discovered by the LIGO 1 and Virgo 2 gravitational-wave observatories is currently unknown. GW190521 3 , 4 is the heaviest black hole merger detected so far. Its observed high… read more here.

Keywords: numerical relativity; eccentricity; hole mergers; hole ... See more keywords
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A no-boundary method for numerical relativity

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Published in 2020 at "Classical and Quantum Gravity"

DOI: 10.1088/1361-6382/ab5e99

Abstract: We propose a method for numerical relativity in which the spatial grid is finite and no outer boundary condition is needed. As a "proof of concept" we implement this method for the case of a… read more here.

Keywords: boundary method; numerical relativity; method numerical;
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Noise residuals for GW150914 using maximum likelihood and numerical relativity templates

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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"

DOI: 10.1088/1475-7516/2019/05/014

Abstract: We reexamine the results presented in a recent work by Nielsen et al. [1], in which the properties of the noise residuals in the 40\,ms chirp domain of GW150914 were investigated. This paper confirmed the… read more here.

Keywords: numerical relativity; template; maximum likelihood; noise residuals ... See more keywords
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Computing fast and reliable gravitational waveforms of binary neutron star merger remnants

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Published in 2019 at "Physical Review D"

DOI: 10.1103/physrevd.100.043005

Abstract: Gravitational waves have been detected from the inspiral of a binary neutron-star, GW170817, which allowed constraints to be placed on the neutron star equation of state. The equation of state can be further constrained if… read more here.

Keywords: neutron star; merger; post merger; numerical relativity ... See more keywords
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Precessing numerical relativity waveform surrogate model for binary black holes: A Gaussian process regression approach

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Published in 2020 at "Physical Review D"

DOI: 10.1103/physrevd.101.063011

Abstract: Gravitational wave astrophysics relies heavily on the use of matched filtering both to detect signals in noisy data from detectors, and to perform parameter estimation on those signals. Matched filtering relies upon prior knowledge of… read more here.

Keywords: black holes; relativity; binary black; numerical relativity ... See more keywords
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Numerical relativity simulation of GW150914 beyond general relativity

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Published in 2020 at "Physical Review D"

DOI: 10.1103/physrevd.101.104016

Abstract: We produce the first astrophysically relevant numerical binary black hole gravitational waveform in a higher-curvature theory of gravity beyond general relativity. We simulate a system with parameters consistent with GW150914, the first LIGO detection, in… read more here.

Keywords: gw150914; general relativity; relativity; relativity simulation ... See more keywords
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Adaptive hp refinement for spectral elements in numerical relativity

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Published in 2023 at "Physical Review D"

DOI: 10.1103/physrevd.107.104043

Abstract: When a numerical simulation has to handle a physics problem with a wide range of time-dependent length scales, dynamically adaptive discretizations can be the method of choice. We present a major upgrade to the numerical… read more here.

Keywords: physics; numerical relativity; relativity; refinement spectral ... See more keywords
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Numerical relativity in spherical coordinates with the Einstein Toolkit

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Published in 2018 at "Physical Review D"

DOI: 10.1103/physrevd.97.084059

Abstract: Numerical relativity codes that do not make assumptions on spatial symmetries most commonly adopt Cartesian coordinates. While these coordinates have many attractive features, spherical coordinates are much better suited to take advantage of approximate symmetries… read more here.

Keywords: numerical relativity; coordinates einstein; relativity spherical; spherical coordinates ... See more keywords