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Data-derived optimization of sensitivity requirements for upcoming auroral imagingmissions

机译:数据优化的灵敏度即将到来的极光imagingmissions要求

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Using an extensive database of ultraviolet images of the nighttime sector of the northern auroral oval obtained from the POLAR spacecraft and data analysis tools adopted from statistical mechanics of turbulent flows, we identify scaling relations describing substorm time variability of the auroral intensity as a function of spatial scale and auroral intensity level. By extrapolating these relations to scales smaller than those resolved by previously flown auroral missions, we derive contrast and sensitivity constraints for a next-generation global auroral imager. The outcomes of this analysis, combined with the results reported by Uritsky et al. (2010), make it possible to optimize sensitivity and resolution requirements for future auroral imaging missions intended to observe auroral structure and dynamics across wide ranges of spatial and temporal scales.
机译:使用一个广泛的数据库的紫外线图像夜间部门的极光北部椭圆形从极地航天器和获得数据从统计力学分析工具采用湍流流动,我们确定比例关系描述亚暴时间的可变性极光强度的函数空间和极光强度水平。这些关系尺度小于解决了以前极光飞行任务,我们得出对比和灵敏度约束新一代全球极光成像仪。这种分析的结果,结合结果报道Uritsky et al . (2010)灵敏度和优化成为可能决议要求未来的极光成像任务旨在观察极光在大范围的结构和动力学空间和时间尺度。

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