发表机构
Sydney Institute for Astronomy, University of Sydney; School of Science, University of Newcastle, Callaghan, Australia; CSIRO Space and Astronomy, P.O. Box 76, Epping, NSW 1710, Australia（悉尼大学天体物理研究所; 纽卡斯尔大学理学院; 澳大利亚联邦科学与工业研究组织空间与天文部）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究在Athena++中对比B驱动与E驱动两种数据驱动策略，经数值实验评估边界磁通量等指标，发现E驱动的复现效果优于B驱动，且更准确简单。
AI 中文摘要
数据驱动是模拟太阳大气中真实磁场与等离子体演化的重要技术，该区域缺乏或缺乏直接观测数据，该技术利用观测数据驱动模拟演化，同时模拟的太阳大气自洽演化。数据驱动模拟的常用方法是B驱动，它以太阳表面的观测磁场作为边界条件，但仅在边界处规定B通常无法确定其数值演化，当更新依赖于重构的界面状态或通量时。为解决此问题，E驱动提供了替代方法，它改用边界处的电场驱动模拟，直接控制磁场更新。我们在一组受控数值实验中系统量化了B驱动和E驱动的性能，在Athena++求解器中测试两种方法：(a) 分析通量浮现模型（Y. Fan & S. Gibson 2003）和(b) 活动区浮现的“真值”参考模拟（S. Toriumi & S. Takasao 2017；S. Toriumi et al. 2020）。对于E驱动，电场被纳入Athena++的约束传输（CT）更新，保留离散无散度约束。我们评估对以下内容的复现：(i) 边界磁通量，(ii) 相对磁 helicity，(iii) 总磁能和自由磁能，(iv) 磁场形态。在所有诊断指标中，E驱动对参考演化的整体复现优于B驱动；对于欧拉CT方案中考虑的配置，E驱动比常用的幽灵单元B驱动策略更准确，且比构建更新一致的B驱动边界条件更简单。
英文摘要
Data driving is an important technique for modelling realistic magnetic field and plasma evolution in regions of the solar atmosphere where direct observations are either absent or insufficient. This technique uses observational data to drive the evolution of the simulation, while the modelled solar atmosphere evolves self-consistently. A common approach for data-driven simulations is B-driving, which uses the observed magnetic field at the surface of the Sun as a boundary condition. However, only prescribing B at the boundary does not generally determine its numerical evolution when the update depends on the reconstructed interface states or fluxes. To address this, E-driving provides an alternative approach by instead driving the simulation using the electric field on the boundary, which directly controls the magnetic field update. We systematically quantify the performance of B- and E-driving in a controlled set of numerical experiments. We test both methods in the Athena++ solver using (a) an analytical flux-emergence model (Y. Fan & S. Gibson 2003) and (b) a "ground-truth" reference simulation (S. Toriumi & S. Takasao 2017; S. Toriumi et al. 2020) of active region emergence. For E-driving, the electric field is incorporated into Athena++'s constrained-transport (CT) update, preserving the discrete solenoidal constraint. We assess the reproduction of (i) boundary magnetic flux, (ii) relative magnetic helicity, (iii) total and free magnetic energy, and (iv) magnetic morphology. Across these diagnostics, E-driving gives better overall reproduction of the reference evolution than B-driving. For the configurations considered in an Eulerian CT scheme, E-driving is more accurate than the commonly used ghost-cell B-driving strategies and simpler than constructing an update-consistent B-driving boundary condition.
CommentsAccepted for publication in ApJ
