Numerical convergence of model Cauchy-characteristic extraction and matching
Thanasis Giannakopoulos, Nigel T. Bishop, David Hilditch, Denis, Pollney, Miguel Zilh\~ao

TL;DR
This paper investigates the numerical convergence of Cauchy-characteristic extraction and matching methods in gravitational wave modeling, revealing potential stability issues and conditions for proper convergence due to weak hyperbolicity in the equations.
Contribution
It constructs toy models to analyze the impact of weak hyperbolicity on these methods, providing energy estimates and convergence tests to identify stability and convergence limitations.
Findings
Cauchy-characteristic matching may be unstable or converge at lower than expected order.
Cauchy-characteristic extraction can achieve proper convergence under certain conditions.
Weak hyperbolicity significantly affects the numerical stability of these methods.
Abstract
Gravitational waves provide a powerful enhancement to our understanding of fundamental physics. To make the most of their detection we need to accurately model the entire process of their emission and propagation toward interferometers. Cauchy-characteristic extraction and matching are methods to compute gravitational waves at null infinity, a mathematical idealization of detector location, from numerical relativity simulations. Both methods can in principle contribute to modeling by providing highly accurate gravitational waveforms. An underappreciated subtlety in realizing this potential is posed by the (mere) weak hyperbolicity of the particular PDE systems solved in the characteristic formulation of the Einstein field equations. This shortcoming results from the popular choice of Bondi-like coordinates. So motivated, we construct toy models that capture that PDE structure and study…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Cold Atom Physics and Bose-Einstein Condensates · Quantum, superfluid, helium dynamics
