A Reproducible Black Hole-Neutron Star Merger Gallery Example for the Einstein Toolkit

Fuente: arXiv
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Autores principales: Matur, Rahime, Karakaş, Beyhan, Haas, Roland, Hawke, Ian, Andersson, Nils, Brandt, Steven R.
Formato: Preprint
Publicado: 2026
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author Matur, Rahime
Karakaş, Beyhan
Haas, Roland
Hawke, Ian
Andersson, Nils
Brandt, Steven R.
author_facet Matur, Rahime
Karakaş, Beyhan
Haas, Roland
Hawke, Ian
Andersson, Nils
Brandt, Steven R.
contents Black hole-neutron star mergers, together with binary neutron star mergers, are key laboratories for neutron star physics. They enable us to probe merger dynamics imprinted in gravitational waves and potential electromagnetic counterparts. These systems link microphysics and macrophysics by placing constraints on the dense matter equations of state, potentially revealing the imprint of hadron-quark phase transitions, clarifying the role of neutrino irradiation in shaping the ejecta, its r-process nucleosynthesis, and kilonova emission, as well as assessing how magnetically driven instabilities affect mass ejection and possible electromagnetic signatures. Despite their importance, black hole-neutron star mergers remain relatively less studied and therefore not yet well understood, largely due to the lack of publicly available numerical relativity setups suitable for such investigations. In this work, we present a fully reproducible black hole-neutron star merger simulation performed exclusively using Einstein Toolkit thorns, targeting the detected event \texttt{GW230529}. The simulations are carried out at three resolutions with finest grid spacings of $162$, $222$ and $310$ meters to assess numerical robustness. The entire setup, from initial data to a parameter file with some of the analysis scripts, is publicly released as a new Einstein Toolkit gallery example and will be distributed as part of the Hypatia release, establishing a reference black hole-neutron star merger configuration within the Einstein Toolkit.
format Preprint
id arxiv_https___arxiv_org_abs_2603_07374
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Reproducible Black Hole-Neutron Star Merger Gallery Example for the Einstein Toolkit
Matur, Rahime
Karakaş, Beyhan
Haas, Roland
Hawke, Ian
Andersson, Nils
Brandt, Steven R.
High Energy Astrophysical Phenomena
General Relativity and Quantum Cosmology
Black hole-neutron star mergers, together with binary neutron star mergers, are key laboratories for neutron star physics. They enable us to probe merger dynamics imprinted in gravitational waves and potential electromagnetic counterparts. These systems link microphysics and macrophysics by placing constraints on the dense matter equations of state, potentially revealing the imprint of hadron-quark phase transitions, clarifying the role of neutrino irradiation in shaping the ejecta, its r-process nucleosynthesis, and kilonova emission, as well as assessing how magnetically driven instabilities affect mass ejection and possible electromagnetic signatures. Despite their importance, black hole-neutron star mergers remain relatively less studied and therefore not yet well understood, largely due to the lack of publicly available numerical relativity setups suitable for such investigations. In this work, we present a fully reproducible black hole-neutron star merger simulation performed exclusively using Einstein Toolkit thorns, targeting the detected event \texttt{GW230529}. The simulations are carried out at three resolutions with finest grid spacings of $162$, $222$ and $310$ meters to assess numerical robustness. The entire setup, from initial data to a parameter file with some of the analysis scripts, is publicly released as a new Einstein Toolkit gallery example and will be distributed as part of the Hypatia release, establishing a reference black hole-neutron star merger configuration within the Einstein Toolkit.
title A Reproducible Black Hole-Neutron Star Merger Gallery Example for the Einstein Toolkit
topic High Energy Astrophysical Phenomena
General Relativity and Quantum Cosmology
url https://arxiv.org/abs/2603.07374