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Challenges in Timeseries Analysis from Microlensing

机译:微透明度序列分析的挑战

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摘要

Despite a flood of discoveries over the last ~20years, our knowledge of the exoplanet population is incomplete owing to a gap between the sensitivities of different detection techniques. However, a census of exoplanets at all separations from their host stars is essential to fully understand planet formation mechanisms. Microlensing offers an effective way to bridge the gap around 1-10 AU and is therefore one of the major science goals of the Wide Field Infrared Survey Telescope (WFIRST) mission. WFIRSTs survey of the Galactic Bulge is expected to discover ~20,000 microlensing events, including~3000 planets, which represents a substantial data analysis challenge with the modeling software currently available. This paper highlights areas where further work is needed. The community is encouraged to join new software development efforts aimed at making the modeling of microlensing events both more accessible and rigorous.
机译:尽管过去20年的发现泛滥,但由于不同检测技术的敏感性之间的差距,我们对外延人口的知识是不完整的。 然而,从宿主恒星的所有分离的外产上的人口普查对于完全理解地球形成机制至关重要。 微溶剂提供了一个有效的方法来弥合1-10岁左右的差距,因此是广场红外调查望远镜(WFIRST)任务的主要科学目标之一。 WFIRSTS Galactic Bulgge的调查预计将发现〜20,000个微溶剂活动,包括〜3000个行星,这代表了目前可用的建模软件的大量数据分析挑战。 本文突出了需要进一步工作的地区。 鼓励社区加入新的软件开发工作,旨在使微胶凝事件的建模更具可访问和严谨。

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