A framework for large-scale relativistic simulations in the characteristic approach
Roberto G\'omez (PSC), Willians Barreto (ULA), Simonetta Frittelli, (Duquesne U.)

TL;DR
This paper introduces LEO, a new computational framework enabling large-scale, high-resolution simulations in numerical relativity using the characteristic approach, with demonstrated scalability and accuracy in scalar field and gravitational problems.
Contribution
The paper presents a novel, highly parallel numerical code based on an improved eth formalism and a first-order reduction of Einstein equations for large-scale relativistic simulations.
Findings
Successfully simulated scalar fields coupled to gravity in 3D
Achieved second-order convergence and excellent scaling
Observed energy flow saturation at the Schwarzschild radius
Abstract
We present a new computational framework (LEO), that enables us to carry out the very first large-scale, high-resolution computations in the context of the characteristic approach in numerical relativity. At the analytic level, our approach is based on a new implementation of the ``eth'' formalism, using a non-standard representation of the spin-raising and lowering angular operators in terms of non-conformal coordinates on the sphere; we couple this formalism to a partially first-order reduction (in the angular variables) of the Einstein equations. The numerical implementation of our approach supplies the basic building blocks for a highly parallel, easily extensible numerical code. We demonstrate the adaptability and excellent scaling of our numerical code by solving, within our numerical framework, for a scalar field minimally coupled to gravity (the Einstein-Klein-Gordon problem) in…
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