根据卡西尼宇宙尘埃分析仪进行的现场测量建立恩克拉多斯尘羽模型

A. Ershova, J. Schmidt, F. Postberg, N. Khawaja, L. Nolle, R. Srama, S. Kempf, B. Southworth
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引用次数: 0

摘要

我们分析了卡西尼号航天器上的宇宙尘埃分析仪在穿越恩克拉多斯尘埃羽流期间记录的数据。我们的研究重点是在卡西尼号飞越 E5 和 E17 时,通过尘埃分析仪子系统记录的质谱得出的不同成分类型颗粒的相对丰度剖面图。我们已经分析了 E5 的剖面图,该剖面图与羽流的陡峭和快速穿越相对应。在本文中,我们加入了来自 E17 飞行的第二个剖面图,它以明显较低的速度近乎水平地穿越南极地形。此外,我们还纳入了高速率探测器子系统在飞越 E7 和 E21 期间的尘埃探测率。我们得出了不同观测数据集的粒度范围,并利用这些数据来约束新尘埃羽流模型的参数。该模型是利用 DUDI 软件包中的尘埃喷射数学描述构建的。进一步的约束条件包括已公布的气体喷射速度、气体和尘埃喷流的位置以及羽流的质量产生率。我们的模型采用了两种不同类型的来源:以较低速度喷射的漫射尘埃源和以较快速度喷射的喷射尘埃源。根据我们的模型,我们得出了不同成分颗粒类型的尘埃质量生产率,至少达到 28 千克/秒。此前,仅根据 E5 数据,富含盐分的尘埃被认为在羽流质量中占主导地位。E17 剖面图显示,富含有机物的颗粒在南极地形上占主导地位,而 E5 数据对这一区域没有很好的约束。通过同时包含 E5 和 E17 剖面,我们发现富盐尘埃的质量贡献最多为 1。这一修正也是由于我们对各种成分类型的颗粒质量有了更深入的了解,这意味着富盐颗粒的尺寸更小。我们的新模型可以预测未来飞行任务探测器在羽流穿越过程中的颗粒数量和质量。
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Modeling the Enceladus dust plume based on in situ measurements performed with the Cassini Cosmic Dust Analyzer
We analyzed data recorded by the Cosmic Dust Analyzer on board the Cassini spacecraft during Enceladus dust plume traversals. Our focus was on profiles of relative abundances of grains of different compositional types derived from mass spectra recorded with the Dust Analyzer subsystem during the Cassini flybys E5 and E17. The E5 profile, corresponding to a steep and fast traversal of the plume, has already been analyzed. In this paper, we included a second profile from the E17 flyby involving a nearly horizontal traversal of the south polar terrain at a significantly lower velocity. Additionally, we incorporated dust detection rates from the High Rate Detector subsystem during flybys E7 and E21. We derived grain size ranges in the different observational data sets and used these data to constrain parameters for a new dust plume model. This model was constructed using a mathematical description of dust ejection implemented in the software package DUDI. Further constraints included published velocities of gas ejection, positions of gas and dust jets, and the mass production rate of the plume. Our model employs two different types of sources: diffuse sources of dust ejected with a lower velocity and jets with a faster and more colimated emission. From our model, we derived dust mass production rates for different compositional grain types, amounting to at least 28 kg/s. Previously, salt-rich dust was believed to dominate the plume mass based on E5 data alone. The E17 profile shows a dominance of organic-enriched grains over the south polar terrain, a region not well constrained by E5 data. By including both E5 and E17 profiles, we find the salt-rich dust contribution to be at most 1 by mass. This revision also results from an improved understanding of grain masses of various compositional types that implies smaller sizes for salt-rich grains. Our new model can predict grain numbers and masses for future mission detectors during plume traversals.
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