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Simulating Binary Neutron Star Mergers

In: High Performance Computing in Science and Engineering '23

Author

Listed:
  • Tim Dietrich

    (University of Potsdam, Institute for Physics and Astronomy
    Max Planck Institute for Gravitational Physics Potsdam)

  • Bernd Brügmann

    (University of Jena, Theoretical Physics Institute)

  • Edoardo Giangrandi

    (University of Potsdam, Institute for Physics and Astronomy
    University of Coimbra, CFisUC, Department of Physics)

  • Henrique Leonhard Gieg

    (Universidade Federal do ABC, Centro de Ciências Naturais e Humanas)

  • Nina Kunert

    (University of Potsdam, Institute for Physics and Astronomy)

  • Ivan Markin

    (University of Potsdam, Institute for Physics and Astronomy)

  • Vsevolod Nedora

    (University of Potsdam, Institute for Physics and Astronomy)

  • Anna Neuweiler

    (University of Potsdam, Institute for Physics and Astronomy)

  • Henrik Rose

    (University of Potsdam, Institute for Physics and Astronomy)

  • Peter Tsun Ho Pang

    (Nikhef
    Utrecht University, Institute for Gravitational and Subatomic Physics (GRASP))

  • Federico Schianchi

    (University of Potsdam, Institute for Physics and Astronomy)

  • Ashwin Shirke

    (University of Potsdam, Institute for Physics and Astronomy)

  • Maximiliano Ujevic

    (Universidade Federal do ABC, Centro de Ciências Naturais e Humanas)

Abstract

To date, about one hundred gravitational-wave events have been detected. Among them, the binary neutron star merger GW170817 was of particular significance since, in addition to gravitational waves, also electromagnetic signatures were observed. As the international network of gravitational-wave detectors has recently restarted, more multi-messenger detections are expected in the coming year. Due to the strong gravitational fields during the final stages of the coalescence, the study of compact binary merger requires numerical-relativity simulations that solve Einstein’s Field Equations. These simulations heavily rely on high-performance computing facilities such as HAWK. We use for our research the numerical-relativity code BAM and explore the intricate relation between extreme spacetime and matter beyond the density of atomic nuclei. We further developed a framework that allows us to correlate observations with theoretical models using Bayesian methods. In this way, we can extract valuable physical information from the detected signals and explore the properties of matter on subatomic and cosmic scales.

Suggested Citation

  • Tim Dietrich & Bernd Brügmann & Edoardo Giangrandi & Henrique Leonhard Gieg & Nina Kunert & Ivan Markin & Vsevolod Nedora & Anna Neuweiler & Henrik Rose & Peter Tsun Ho Pang & Federico Schianchi & Ash, 2026. "Simulating Binary Neutron Star Mergers," Springer Books, in: Thomas Ludwig & Peter Bastian & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '23, pages 29-40, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-91312-9_3
    DOI: 10.1007/978-3-031-91312-9_3
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