利用星际边界探测器数据划分带状和全球分布通量的统计方法
Statistical methods for partitioning ribbon and globally-distributed flux using data from the Interstellar Boundary Explorer
AI总结：
提出统计算法将总ENA强度图分离为带状和全球分布通量图并估计不确定性，增强模型灵活性和不确定性传播。
摘要：
NASA的星际边界探测器（IBEX）卫星收集高能中性原子（ENA）数据，可揭示太阳系与星际空间之间的日光层边界。利用这些数据，科学家可以构建所有方向观测到的ENA强度（通常以通量表示）图。这些图中观测到的ENA通量被认为来自至少两个不同的源：一个源表现为带状集中ENA通量，另一个源（或可能多个）产生平滑变化的全球分布通量。每个ENA源类型及其对应的ENA强度图具有独立的科学意义。本文开发了统计算法，将总ENA强度图分离为两个特定源图（带状和全球分布通量），并估计相应不确定性。所提方法的主要优势包括增强模型灵活性和改进估计不确定性的传播。我们在模拟数据上评估了所提方法，这些数据旨在模拟真实数据设置。我们还提出了估计天空中近椭圆带状中心的新方法，未来可用于研究局部星际磁场的位置和变化。
英文摘要：
NASA's Interstellar Boundary Explorer (IBEX) satellite collects data on energetic neutral atoms (ENAs) that can provide insight into the heliosphere boundary between our solar system and interstellar space. Using these data, scientists can construct maps of the ENA intensities (often, expressed in terms of flux) observed in all directions. The ENA flux observed in these maps is believed to come from at least two distinct sources: one source which manifests as a ribbon of concentrated ENA flux and one source (or possibly several) that results in a smoothly-varying globally-distributed flux. Each ENA source type and its corresponding ENA intensity map is of separate scientific interest. In this paper, we develop statistical algorithms for separating the total ENA intensity maps into two source-specific maps (ribbon and globally-distributed flux) and estimating corresponding uncertainty. Key advantages of the proposed method include enhanced model flexibility and improved propagation of estimation uncertainty. We evaluate the proposed methods on simulated data designed to mimic realistic data settings. We also propose new methods for estimating the center of the near-elliptical ribbon in the sky, which can be used in the future to study the location and variation of the local interstellar magnetic field.
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