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Open-source initial data for binary black holes and neutron stars

ORAL

Abstract

I present the open-source module to generate initial data for binary black holes and neutron stars with the SpECTRE code. The code is publicly accessible, which means that initial data can be generated and then interpolated and imported into any evolution code. The initial data represents the state of the art of the SXS collaboration, specifically the superposed Kerr-Schild (SKS) or superposed harmonic Kerr (SHK) formalism. It supports high spins in arbitrary directions, excisions with negative-expansion boundary conditions to avoid extrapolation, and eccentricity control. The initial data can be generated in a containerized environment on a cluster or workstation and interpolated to the evolution grid in Python or C/Fortran. I demonstrate importing the initial data into the Einstein Toolkit and present the available tools and tutorials.

* This work was supported in part by the Sherman Fairchild Foundation and by NSF Grants No. PHY-2011961, No. PHY-2011968, and No. OAC-1931266 at Caltech, and NSF Grants No. PHY-1912081 and No. OAC-1931280 at Cornell. G.~L. is pleased to acknowledge support from the NSF through Grants No. PHY-1654359 and No. AST-1559694 and from Nicholas and Lee Begovich and the Dan Black Family Trust.

Publication: N. L. Vu, H. P. Pfeiffer, G. S. Bonilla, et al. A scalable elliptic solver with task-based parallelism for the SpECTRE numerical relativity code. Phys. Rev. D 105, 8, p. 084027 (2022). arXiv:2111.06767.

Presenters

  • Nils L Vu

    Caltech

Authors

  • Nils L Vu

    Caltech