AI 中文总结
本研究在有限差分代码 BAM 中，验证基于熵的通量限制（EFL）方案可显著且鲁棒地减少中子星模拟中的人工表面加热，为恒星表面处理提供有效解决方案。
AI 中文摘要
在双中子星模拟中，恒星表面的处理对数值演化的准确性和预测可观测量的物理可靠性至关重要。恒星表面附近陡梯度处理相关的数值 artifacts 会在并合阶段产生虚假加热，导致内能人为增加和中子星非物理膨胀。本研究在有限差分代码 BAM 中，探究基于熵的通量限制（EFL）方案缓解这些数值效应的有效性。我们采用一组代表性混合物态方程，开展孤立中子星和双中子星并合的模拟。结果表明，EFL 方案可显著减少人工表面加热，该减少效果在所有所考虑的恒星模型和双星构型中一致出现，证明减少数值加热是 EFL 方法的鲁棒特性。
英文摘要
The treatment of the stellar surface in binary neutron star simulations is crucial for the accuracy of the numerical evolution and the physical reliability of the predicted observables. Numerical artifacts associated with the treatment of steep gradients near the stellar surface can produce spurious heating during the inspiral, leading to an artificial increase of the internal energy and an unphysical expansion of the neutron star. In this work, we investigate the effectiveness of the entropy-based flux-limiting (EFL) scheme in mitigating these numerical effects within the finite-difference code BAM. We perform simulations of both isolated neutron stars and binary neutron star inspirals employing a representative set of hybrid equations of state. We show that the EFL scheme significantly reduces artificial surface heating. This reduction is observed consistently across all stellar models and binary configurations considered, demonstrating that the reduction of numerical heating is a robust feature of the EFL method.
Comments10 pages, 8 figures
