The Multi-slit Approach to Coronal Spectroscopy with the Multi-slit Solar Explorer (MUSE)
The Multi-slit Approach to Coronal Spectroscopy with the Multi-slit Solar Explorer (MUSE)
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DOI：
10.3847/1538-4357/ab5b03
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发表时间：
2019-09
期刊：
影响因子：
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通讯作者：
B. De Pontieu;J. Martínez-Sykora;P. Testa;A. Winebarger;A. Daw;V. Hansteen;M. Cheung;P. Antolin-
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文献类型：
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作者：
B. De Pontieu;J. Martínez-Sykora;P. Testa;A. Winebarger;A. Daw;V. Hansteen;M. Cheung;P. Antolin-
多缝太阳探测器（MUSE）是一项拟议中的任务，旨在了解驱动日冕加热和喷发的物理机制，这是空间天气的基础。MUSE包含两个仪器，一个多缝极紫外（EUV）光谱仪和一个环境成像仪。它将同时获得EUV光谱（沿着37个狭缝）和环境图像，其空间分辨率（0.″33 - 0.″4）和时间（1-4秒）达到了过渡区（TR）和日冕的最高分辨率。MUSE科学研究将利用数值模拟方面的重大进展，并在空间和时间尺度上进行观测，在这些尺度上，相互竞争的模型可以做出可测试和可区分的预测，从而导致我们对日冕加热和空间天气驱动因素的理解取得突破。通过同时获得四条明亮的EUV谱线（Fe ix 171 Å， Fe xv 284 Å， Fe xix 108Å， Fe xxi 108Å）覆盖37个狭缝的大范围TR和日冕温度的光谱，MUSE将能够“冻结”动态日冕等离子体的演变。我们描述了MUSE的多狭缝方法，并表明优化设计可以最大限度地减少相邻狭缝光谱线的影响，通常可以准确地确定谱线参数。我们还描述了一个光谱消歧码，以解决在次要线明亮的位置的多缝歧义。我们使用日冕和喷发的模拟来进行验证测试，并表明多缝消歧义方法可以准确地确定发生明显多缝污染的位置的MUSE观测值。
The Multi-slit Solar Explorer (MUSE) is a proposed mission aimed at understanding the physical mechanisms driving the heating of the solar corona and the eruptions that are at the foundation of space weather. MUSE contains two instruments, a multi-slit extreme ultraviolet (EUV) spectrograph and a context imager. It will simultaneously obtain EUV spectra (along 37 slits) and context images with the highest resolution in space (0.″33–0.″4) and time (1–4 s) ever achieved for the transition region (TR) and corona. The MUSE science investigation will exploit major advances in numerical modeling, and observe at the spatial and temporal scales on which competing models make testable and distinguishable predictions, thereby leading to a breakthrough in our understanding of coronal heating and the drivers of space weather. By obtaining spectra in four bright EUV lines (Fe ix 171 Å, Fe xv 284 Å, Fe xix 108Å, Fe xxi 108 Å) covering a wide range of TR and coronal temperatures along 37 slits simultaneously, MUSE will be able to “freeze” the evolution of the dynamic coronal plasma. We describe MUSE’s multi-slit approach and show that the optimization of the design minimizes the impact of spectral lines from neighboring slits, generally allowing line parameters to be accurately determined. We also describe a Spectral Disambiguation Code to resolve multi-slit ambiguity in locations where secondary lines are bright. We use simulations of the corona and eruptions to perform validation tests and show that the multi-slit disambiguation approach allows accurate determination of MUSE observables in locations where significant multi-slit contamination occurs.