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The initial value problem in numerical relativity

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arxiv gr-qc/0412002 v1 pith:WEOB34TD submitted 2004-12-01 gr-qc

The initial value problem in numerical relativity

classification gr-qc
keywords initialconformalcurvaturedatadecompositionequationsextrinsicnumerical
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The conformal method for constructing initial data for Einstein's equations is presented in both the Hamiltonian and Lagrangian picture (extrinsic curvature decomposition and conformal thin sandwich formalism, respectively), and advantages due to the recent introduction of a weight-function in the extrinsic curvature decomposition are discussed. I then describe recent progress in numerical techniques to solve the resulting elliptic equations, and explore innovative approaches toward the construction of astrophysically realistic initial data for binary black hole simulations.

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Cited by 3 Pith papers

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  2. Data-Driven Acceleration of Eccentricity Reduction for Binary Black Hole Simulations

    gr-qc 2026-04 unverdicted novelty 6.0

    A Gaussian Process Regression model trained on an archive of eccentricity-reduced binary black hole simulations predicts initial conditions that achieve low eccentricity with zero or one iteration.

  3. Solving Hamiltonian Constraint Equation with Physics-Informed Neural Networks

    gr-qc 2026-07 conditional novelty 5.5

    PINNs with specialized techniques solve the nonlinear Hamiltonian constraint for generic binary black hole initial data, matching traditional NR accuracy.