论文标题
确定航天器飞行的未知彗星的灰尘环境：ESA彗星拦截器任务的案例
Determining the dust environment of an unknown comet for a spacecraft fly-by: The case of ESA's Comet Interceptor mission
论文作者
论文摘要
我们提出了一种统计方法，以评估虽然未知的彗星的尘埃环境（或者仅在不确定性较大时才知道其参数时）。对于ESA的彗星拦截器任务涉及动态新彗星等任务，这一点尤其重要。 我们发现，缺乏任何特定彗星的知识会导致昏迷内的尘埃密度非常不确定性（〜3个数量级）。影响灰尘密度的最敏感参数是尘埃尺寸分布，灰尘产量和昏迷亮度，通常由AF $ρ$量化。此外，将昏迷的亮度（AF $ρ$）转换为尘埃生产率的限制很差。除了AF $ρ$以外，灰尘生产率只能估计降低到〜0.5个数量级的不确定性。 为了准确预测一个知名彗星的灰尘环境，我们在这里提出的一种统计方法需要正确反映不确定性。这可以通过计算comae的集合来完成，从而涵盖参数空间内所有可能的组合，如本工作所示。
We present a statistical approach to assess the dust environment for a yet unknown comet (or when its parameters are known only with large uncertainty). This is of particular importance for missions such as ESA's Comet Interceptor mission to a dynamically new comet. We find that the lack of knowledge of any particular comet results in very large uncertainties (~3 orders of magnitude) for the dust densities within the coma. The most sensitive parameters affecting the dust densities are the dust size distribution, the dust production rate and coma brightness, often quantified by Af$ρ$. Further, the conversion of a coma's brightness (Af$ρ$) to a dust production rate is poorly constrained. The dust production rate can only be estimated down to an uncertainty of ~0.5 orders of magnitude if the dust size distribution is known in addition to the Af$ρ$. To accurately predict the dust environment of a poorly known comet, a statistical approach as we propose here needs to be taken to properly reflect the uncertainties. This can be done by calculating an ensemble of comae covering all possible combinations within parameter space as shown in this work.
