2021
DOI: 10.48550/arxiv.2110.08635
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The SpECTRE Cauchy-characteristic evolution system for rapid, precise waveform extraction

Abstract: We give full details regarding the new Cauchy-characteristic evolution (CCE) system in SpEC-TRE. The implementation is built to provide streamlined flexibility for either extracting waveforms during the process of a SpECTRE binary compact object simulation, or as a standalone module for extracting waveforms from worldtube data provided by another code base. Using our recently presented improved analytic formulation, the CCE system is free of pure-gauge logarithms that would spoil the spectral convergence of th… Show more

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Cited by 12 publications
(25 citation statements)
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“…Though these templates should in principle be more accurate, due to difficulties in choosing initial data the waveforms of the kind (i) exhibit spurious oscillations, and are hence unsuited for our purposes. The latest implementation of the SpECTRE CCE module [82] is able to extract waveforms either from finished simulations or from a Generalized Harmonic simulation simultaneously running in SpECTRE, but this kind of data is currently not readily available.…”
Section: Multipolar Hierarchy At Mergermentioning
confidence: 99%
“…Though these templates should in principle be more accurate, due to difficulties in choosing initial data the waveforms of the kind (i) exhibit spurious oscillations, and are hence unsuited for our purposes. The latest implementation of the SpECTRE CCE module [82] is able to extract waveforms either from finished simulations or from a Generalized Harmonic simulation simultaneously running in SpECTRE, but this kind of data is currently not readily available.…”
Section: Multipolar Hierarchy At Mergermentioning
confidence: 99%
“…Each simulation contains roughly 19 orbits prior to merger and is evolved until the waves from ringdown leave the computational domain. Unlike the evolutions in the SXS catalog, the full set of Weyl scalars and the strain have been extracted from these runs and the waveforms have been computed using the extrapolation technique described in [55] and the Cauchy-characteristic extraction (CCE) procedure that is outlined in [56,57]. Extrapolation is performed with the python module scri [27,[58][59][60] and CCE is run with SpECTRE's CCE module [56,57,61].…”
Section: Numerical Waveformsmentioning
confidence: 99%
“…This is the strain that can be found in the public SXS catalog. The other and more faithful extraction method, which is known as CCE, computes the strain by using the world tube data provided by a Cauchy evolution as the inner boundary data for a nonlinear evolution of the Einstein field equations on null hypersurfaces extending all the way to I + [56,57]. CCE requires freely specifying the strain on the initial null hypersurface labeled u = 0.…”
Section: Numerical Waveformsmentioning
confidence: 99%
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“…Since characteristic formulations are based on null hypersurfaces, future null infinity can be naturally included in the computational domain. This is the region where quantities such as the Bondi news function are unambiguously defined, and so methods like Cauchy characteristic extraction (CCE) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] and matching (CCM) [16,17] can eliminate systematic extrapolation errors (the main alternative strategy for this is to use compactified hyperboloidal slices [18][19][20][21][22][23][24][25]).…”
Section: Introductionmentioning
confidence: 99%