Simulating Binary Neutron Star Mergers

Tim Dietrich; Parikshit Biswas; Bernd Brügmann; Swami Vivekanandji Chaurasia; Mattia Emma; Francesco Maria Fabbri; Henrique Leonhard Gieg; Maximilian Kölsch; Nina Kunert; Michele Mattei; Anna Neuweiler; Henrik Rose; Peter Tsun Ho Pang; Federico Schianchi; Maximiliano Ujevic Tonino

doi:10.1007/978-3-031-46870-4_1

Simulating Binary Neutron Star Mergers

Tim Dietrich^*, Parikshit Biswas, Bernd Brügmann, Swami Vivekanandji Chaurasia, Mattia Emma, Francesco Maria Fabbri, Henrique Leonhard Gieg, Maximilian Kölsch, Nina Kunert, Michele Mattei, Anna Neuweiler, Henrik Rose, Peter Tsun Ho Pang, Federico Schianchi, Maximiliano Ujevic Tonino

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

In 2017, the first joint detection of gravitational waves and electromagnetic waves, produced from the merger of a binary neutron star system, inaugurated a new era of multi-messenger astronomy. Due to the strong gravitational fields present in the last stages of the compact binary coalescence, one has to solve Einstein’s field equations for a comprehensive study. For this reason, numerical-relativity simulations are an essential tool to correctly describe and study these compact binary mergers. High-performance computing facilities such as HAWK enable us to perform accurate simulations of binary systems by employing our numerical-relativity code BAM. BAM solves the equations of general relativity together with the equations of general-relativistic hydrodynamics. Within our research project, we use numerical-relativity simulations of binary systems to investigate matter at supranuclear densities, to measure the expansion rate of our Universe, and to calibrate theoretical models for the emitted gravitational and electromagnetic waves.

Original language	English
Title of host publication	High Performance Computing in Science and Engineering ’22
Subtitle of host publication	Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022
Publisher	Springer
Pages	5-18
Number of pages	14
ISBN (Electronic)	9783031468704
ISBN (Print)	9783031468698
DOIs	https://doi.org/10.1007/978-3-031-46870-4_1
Publication status	Published - 3 Apr 2024

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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10.1007/978-3-031-46870-4_1

978-3-031-46870-4_1Final published version, 950 KBLicence: Taverne

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Dietrich, T., Biswas, P., Brügmann, B., Chaurasia, S. V., Emma, M., Fabbri, F. M., Gieg, H. L., Kölsch, M., Kunert, N., Mattei, M., Neuweiler, A., Rose, H., Ho Pang, P. T., Schianchi, F., & Tonino, M. U. (2024). Simulating Binary Neutron Star Mergers. In High Performance Computing in Science and Engineering ’22: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022 (pp. 5-18). Springer. https://doi.org/10.1007/978-3-031-46870-4_1

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abstract = "In 2017, the first joint detection of gravitational waves and electromagnetic waves, produced from the merger of a binary neutron star system, inaugurated a new era of multi-messenger astronomy. Due to the strong gravitational fields present in the last stages of the compact binary coalescence, one has to solve Einstein{\textquoteright}s field equations for a comprehensive study. For this reason, numerical-relativity simulations are an essential tool to correctly describe and study these compact binary mergers. High-performance computing facilities such as HAWK enable us to perform accurate simulations of binary systems by employing our numerical-relativity code BAM. BAM solves the equations of general relativity together with the equations of general-relativistic hydrodynamics. Within our research project, we use numerical-relativity simulations of binary systems to investigate matter at supranuclear densities, to measure the expansion rate of our Universe, and to calibrate theoretical models for the emitted gravitational and electromagnetic waves.",

author = "Tim Dietrich and Parikshit Biswas and Bernd Br{\"u}gmann and Chaurasia, {Swami Vivekanandji} and Mattia Emma and Fabbri, {Francesco Maria} and Gieg, {Henrique Leonhard} and Maximilian K{\"o}lsch and Nina Kunert and Michele Mattei and Anna Neuweiler and Henrik Rose and {Ho Pang}, {Peter Tsun} and Federico Schianchi and Tonino, {Maximiliano Ujevic}",

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doi = "10.1007/978-3-031-46870-4_1",

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Dietrich, T, Biswas, P, Brügmann, B, Chaurasia, SV, Emma, M, Fabbri, FM, Gieg, HL, Kölsch, M, Kunert, N, Mattei, M, Neuweiler, A, Rose, H, Ho Pang, PT, Schianchi, F & Tonino, MU 2024, Simulating Binary Neutron Star Mergers. in High Performance Computing in Science and Engineering ’22: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2022. Springer, pp. 5-18. https://doi.org/10.1007/978-3-031-46870-4_1

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AU - Fabbri, Francesco Maria

AU - Gieg, Henrique Leonhard

AU - Kölsch, Maximilian

AU - Kunert, Nina

AU - Mattei, Michele

AU - Neuweiler, Anna

AU - Rose, Henrik

AU - Ho Pang, Peter Tsun

AU - Schianchi, Federico

AU - Tonino, Maximiliano Ujevic

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Simulating Binary Neutron Star Mergers

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