2021
DOI: 10.1007/s10714-021-02865-5
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Aliasing instabilities in the numerical evolution of the Einstein field equations

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Cited by 6 publications
(5 citation statements)
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“…This problem, particularly recurrent in incompressible hydrodynamics, can be avoided by adopting dealiasing techniques [53]. We then use a strategy to suppress such a problem based on analogous studies in compressible hydrodynamics, by using a filtering method [54][55][56][57]. For each decomposition in the spectral space, one can define…”
Section: The Sfinge Codementioning
confidence: 99%
See 1 more Smart Citation
“…This problem, particularly recurrent in incompressible hydrodynamics, can be avoided by adopting dealiasing techniques [53]. We then use a strategy to suppress such a problem based on analogous studies in compressible hydrodynamics, by using a filtering method [54][55][56][57]. For each decomposition in the spectral space, one can define…”
Section: The Sfinge Codementioning
confidence: 99%
“…Terms of the type ν n ∇ n f, where ν n is a dissipative numerical coefficient, can indeed strongly dissipate very smallscale ripples and noise. See [36,56] for more technical details on the procedure.…”
Section: The Sfinge Codementioning
confidence: 99%
“…A unique feature of SpecCosmo's design is that all derivatives are calculated outside of the main loops making it possible to choose the differencing method at run-time. For this work, we utilize a Fourier pseudospectral method along with a 2/3 dealiasing scheme [8][9][10][11]. Because this is fundamentally a turbulence simulation, we use periodic boundary conditions.…”
Section: Numerical Codementioning
confidence: 99%
“…High-order pseudospectral methods have proven extremely useful in producing a large number of long and accurate gravitational waveforms from binary black hole merger simulations [17][18][19][20][21][22][23][24][25] as well as other applications in relativistic astrophysics [26][27][28][29][30][31]. Since binary inspirals emit gravitational radiation, the numerical solution in most of the computational domain is smooth but non-constant, and so high-order methods are preferable.…”
Section: Introductionmentioning
confidence: 99%