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Modeling and Analysis of the APOLLO Lunar Laser Ranging Data

机译:Apollo Lunar激光测距数据的建模与分析

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The Earth-Moon-Sun system has traditionally provided the best laboratory for testing the strong equivalence principle. For a decade, the Apache Point Observatory Lunar Laser-ranging Operation (APOLLO) has been producing the world's best lunar laser ranging data. At present, a single observing session of about an hour yields a distance measurement with uncertainty of about 2 mm, an order of magnitude advance over the best pre-APOLLO lunar laser ranging data. However, these superb data have not yet yielded scientific results commensurate with their accuracy, number, and temporal distribution. There are two reasons for this. First, even in the relatively clean environment of the Earth-Moon system, a large number of effects modify the measured distance importantly and thus need to be included in the analysis model. The second reason is more complicated. The traditional problem with the analysis of solarsystem metric data is that the physical model must be truncated to avoid extra parameters that would increase the condition number of the estimator. Even in a typical APOLLO analysis that does not include parameters of gravity physics, the condition number is very high: 8 × 10~(10).
机译:地球太阳系传统上提供了测试强劲的等效原理的最佳实验室。十年来,Apache点观测台月球激光测距操作(Apollo)一直在生产世界上最好的月球激光测距数据。目前,大约一个小时的单个观察会会出现,产生具有约2mm的不确定度的距离测量,在最佳的前阿波罗月球激光测距数据上提前一项大小。然而,这些精湛的数据尚未产生科学的结果与其准确性,数量和时间分布相称。有两个原因。首先,即使在地球系统的相对清洁的环境中,大量效果也要重要地修改测量距离,因此需要包括在分析模型中。第二个原因更复杂。索尔马斯系统度量标准数据分析的传统问题是必须截断物理模型,以避免将增加估算器的条件数量的额外参数。即使在不包括重力物理学的参数的典型Apollo分析中,条件号也非常高:8×10〜(10)。

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