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Modeling and Analysis of the APOLLO Lunar Laser Ranging Data

机译:apOLLO月球激光测距数据的建模与分析

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摘要

The Earth-Moon-Sun system has traditionally provided the best laboratory fortesting the strong equivalence principle. For a decade, the Apache PointObservatory Lunar Laser-ranging Operation (APOLLO) has been producing theworld's best lunar laser ranging data. At present, a single observing sessionof 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 rangingdata. However, these superb data have not yet yielded scientific resultscommensurate with their accuracy, number, and temporal distribution. There aretwo reasons for this. First, even in the relatively clean environment of theEarth-Moon system, a large number of effects modify the measured distanceimportantly and thus need to be included in the analysis model. The secondreason is more complicated. The traditional problem with the analysis ofsolar-system metric data is that the physical model must be truncated to avoidextra parameters that would increase the condition number of the estimator.Even in a typical APOLLO analysis that does not include parameters of gravityphysics, the condition number is very high: $8 \times 10^{10}$.
机译:传统上,Earth-Moon-Sun系统提供了检验强等效原理的最佳实验室。十年来,Apache Point天文台月球激光测距仪(APOLLO)一直在生产世界上最好的月球激光测距仪数据。目前,大约一个小时的一次观测会产生距离测量,不确定性约为2mm,比最佳的APOLLO月球激光测距数据要先进一个数量级。但是,这些极好的数据尚未产生与其准确性,数量和时间分布相称的科学结果。有两个原因。首先,即使在地球-月球系统的相对清洁的环境中,大量的影响也会重要地改变测量距离,因此需要将其包括在分析模型中。第二个原因更为复杂。太阳系度量数据分析的传统问题是必须截断物理模型,以避免额外的参数会增加估算器的条件数。即使在不包含重力物理学参数的典型APOLLO分析中,条件数也是非常高:$ 8 \乘以10 ^ {10} $。

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