Improvements to SpECTRE's Computational Domain for Binary Black Hole Simulations

ORAL

Abstract

In order to interpret gravitational wave signals received by future gravitational wave detectors, we will need models of binary black hole mergers with much higher accuracy than we have today. SpECTRE is a next-generation numerical relativity code being developed to address this need. An important part of producing high accuracy models of binary black holes is the careful construction and tuning of the computational grid on which our simulations run. In this talk, I will discuss SpECTRE's binary black hole computational grid and changes we've made to improve the robustness and accuracy of our simulations.

*This work was supported in part by NSF awards PHY-2208014 and AST-2219109, the Dan Black Family Trust, and Nicholas and Lee Begovich at Cal State Fullerton; by NSF awards PHY-2407742, PHY- 2207342, and OAC-2209655, and by the Sherman Fairchild Foundation at Cornell; by NASA through the NASA Hubble Fellowship grant number HST-HF2-51562.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555; by the Sherman Fairchild Foundation and by NSF Grants PHY-2309211, PHY-2309231, and OAC-2209656 at Caltech; and by the Department of Atomic Energy, Government of India, under project RTI4001, and by the Ashok and Gita Vaish Early Career Faculty Fellowship at the International Centre for Theoretical Sciences.

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Publication: https://arxiv.org/abs/2410.00265

Presenters

  • Alexandra L Macedo

    • California State University, Fullerton

Authors

  • Alexandra L Macedo

    • California State University, Fullerton

  • Marceline S Bonilla

    • California State University, Fullerton

  • Alex H Carpenter

    • California State University, Fullerton

  • Kyle C Nelli

    • Caltech