RUI: Eclipsing Binaries and Variable Stars in the Local Group: Maximizing Return with an Intelligent Data Pipeline

AST-0507542机构：维拉诺瓦大学PI：爱德华Guinan标题：“在本地组中识别双星和变星：用智能数据管道最大化回报”。维拉诺瓦大学的Edward Guinan将开发新的数据处理技术和方法，使用最少的人为干预，重点是利用新调查中发现的食双星和变星的潜力。 其目标是将人工智能技术集成到当前和未来主要地面和空间观测计划的数据处理管道中。 该计划的动机在于随着观测能力的增长，发现的变量数量预计会增加。这项研究的一个直接好处将是使用本星系群中的食双星来研究星系演化和宇宙学。 这项工作的更广泛影响将是大量的可变星星数据集，这些数据集将提供给天文学界，以及对现有的各种仪器有用的算法，以及许多计划中的仪器。本科生也将参与这项工作，为学生提供以研究为基础的教育经验。

AST-0507542INSTITUTION: Villanova UniversityPI: Edward GuinanTITLE: "Eclipsing Binaries and Variable Stars in the Local Group: Maximizing Return with an Intelligent Data Pipeline" ABSTRACTDr. Edward Guinan, at Villanova University, will develop new data processing techniques and methodologies using minimal human intervention, focused on exploiting the potential of eclipsing binaries and variable stars found in new surveys. The goal is to integrate technologies of Artificial Intelligence into the data processing pipelines of major current and future ground- and space-based observational programs. The motivation for the proposed program lies in the expected growth in number of discovered variables with the growth of observational capabilities. A direct benefit of the research will be the use of eclipsing binaries in the Local Group for the study of galaxy evolution and cosmology. The broader impact of the work will be a large number of variable star datasets that will be made available to the astronomical community, as well as algorithms that will be useful for a broad range of instruments now in existence, and many that are planned. Undergraduates will also participate in the work, providing for a research-based educational experience for the students.