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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2509.21652 |
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| _version_ | 1866908876859768832 |
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| author | Qiao, Chen-Kai Zheng, Yi Cao, Zhou-Jian |
| author_facet | Qiao, Chen-Kai Zheng, Yi Cao, Zhou-Jian |
| contents | Numerical relativity has brought about profound and wide-ranging influences on modern astrophysics and gravitational-wave astronomy. In this study, we present a user-friendly Python interface for the numerical relativity code AMSS-NCKU. This interface facilitates the automation of initializing and executing the AMSS-NCKU simulations, as well as the automatic visualization of the output data. The Python interface can significantly reduce the operational complexity of the AMSS-NCKU simulation workflow, lowering the technical barriers for new users. To show the utility of this Python interface, we present two representative examples of numerical relativity simulations (the binary black hole and triple black hole merger processes), obtaining stable numerical results and the expected physical behaviors for black hole systems.
Keywords: Numerical Relativity, Gravitational Waves, Black Holes, Python |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_21652 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A User-Friendly Python Interface for the Numerical Relativity Code AMSS-NCKU Qiao, Chen-Kai Zheng, Yi Cao, Zhou-Jian General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena Numerical relativity has brought about profound and wide-ranging influences on modern astrophysics and gravitational-wave astronomy. In this study, we present a user-friendly Python interface for the numerical relativity code AMSS-NCKU. This interface facilitates the automation of initializing and executing the AMSS-NCKU simulations, as well as the automatic visualization of the output data. The Python interface can significantly reduce the operational complexity of the AMSS-NCKU simulation workflow, lowering the technical barriers for new users. To show the utility of this Python interface, we present two representative examples of numerical relativity simulations (the binary black hole and triple black hole merger processes), obtaining stable numerical results and the expected physical behaviors for black hole systems. Keywords: Numerical Relativity, Gravitational Waves, Black Holes, Python |
| title | A User-Friendly Python Interface for the Numerical Relativity Code AMSS-NCKU |
| topic | General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2509.21652 |