Lessons for adaptive mesh refinement in numerical relativity
نویسندگان
چکیده
Abstract We demonstrate the flexibility and utility of Berger–Rigoutsos adaptive mesh refinement (AMR) algorithm used in open-source numerical relativity (NR) code GRC hombo for generating gravitational waveforms from binary black-hole (BH) inspirals, studying other problems involving non-trivial matter configurations. show that can produce high quality BH through a comparison with established NR L ean . also discuss some technical challenges involved making use full AMR (as opposed to, e.g. moving box refinement), including effects caused by using various criteria when regridding. suggest several ‘rules thumb’ to different tagging simulating variety physical phenomena. these example evolutions scalar field theory. Finally, we review current status general capabilities
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ژورنال
عنوان ژورنال: Classical and Quantum Gravity
سال: 2022
ISSN: ['1361-6382', '0264-9381']
DOI: https://doi.org/10.1088/1361-6382/ac6fa9