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Simulating Binary Neutron Star Mergers

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, Ashwin Shirke and Maximiliano Ujevic
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Tim Dietrich: University of Potsdam, Institute for Physics and Astronomy
Bernd Brügmann: University of Jena, Theoretical Physics Institute
Edoardo Giangrandi: University of Potsdam, Institute for Physics and Astronomy
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
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

A chapter in High Performance Computing in Science and Engineering '23, 2026, pp 29-40 from Springer

Abstract: 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.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-91312-9_3

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DOI: 10.1007/978-3-031-91312-9_3

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