论文标题
在毫米波长下太阳的数值建模的前景和挑战
Prospects and challenges of numerical modelling of the Sun at millimetre wavelengths
论文作者
论文摘要
Atacama大毫米/亚毫米阵列(ALMA)提供了新的诊断可能性,可以补充其他常用的诊断,以研究我们的太阳。特别是,ALMA以毫米波长和未来极化测量值以前所未有的空间分辨率在空间空间分辨率上充当色球气体的本质线性温度计具有很大的诊断潜力。因此,预计太阳ALMA的观察结果将对有关太阳大气外层的结构,动态和能量平衡的长期问题产生重大贡献。在这方面,当前和未来的ALMA数据对于限制和进一步开发太阳大气的数值模型也很重要,而太阳大气的数值模型反过来通常对于观察的解释至关重要。鉴于太阳高度间歇性和动态性质涉及在空间和时间尺度上延伸的范围上发生的很多过程,后者尤其重要。因此,太阳的现实前向建模需要时间依赖性的三维辐射磁性水力动力学,这些磁性水力动力学构成了非平衡效应,并且通常是单独的步骤,详细的辐射转移计算,从而导致可以与观察值进行比较的合成可观察物。这种人工观察有时还可以解释工具和观察效果,除了帮助观察的解释外,还提供了设计和优化ALMA太阳观测模式的启发性工具。在另一个方向上,ALMA数据与其他同时观察结果结合使用,可以通过数据反演技术重建太阳大气结构。本文重点介绍了阿尔玛对太阳数值建模的影响,其潜力和挑战以及选定的例子。
The Atacama Large Millimeter/submillimeter Array (ALMA) offers new diagnostic possibilities that complement other commonly used diagnostics for the study of our Sun. In particular, ALMA's ability to serve as an essentially linear thermometer of the chromospheric gas at unprecedented spatial resolution at millimetre wavelengths and future polarisation measurements have great diagnostic potential. Solar ALMA observations are therefore expected to contribute significantly to answering long-standing questions about the structure, dynamics and energy balance of the outer layers of the solar atmosphere. In this regard, current and future ALMA data are also important for constraining and further developing numerical models of the solar atmosphere, which in turn are often vital for the interpretation of observations. The latter is particularly important given the Sun's highly intermittent and dynamic nature that involves a plethora of processes occurring over extended ranges in spatial and temporal scales. Realistic forward modelling of the Sun therefore requires time-dependent three-dimensional radiation magnetohydrodynamics that account for non-equilibrium effects and, typically as a separate step, detailed radiative transfer calculations, resulting in synthetic observables that can be compared to observations. Such artificial observations sometimes also account for instrumental and seeing effects, which, in addition to aiding the interpretation of observations, provide instructive tools for designing and optimising ALMA's solar observing modes. In the other direction, ALMA data in combination with other simultaneous observations enables the reconstruction of the solar atmospheric structure via data inversion techniques. This article highlights central aspects of the impact of ALMA for numerical modelling for the Sun, their potential and challenges, together with selected examples.