Computer Vision and Astronomy: A New Technique for Exoplanet Discovery

计算机视觉和天文学：发现系外行星的新技术

• 批准号: 1245018
• 负责人: Rebecca Oppenheimer
• 金额: $ 16.54万
• 依托单位: American Museum Natural History
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1245018&HistoricalAwards=false
• 关键词: Computer; Vision; Astronomy; New; Technique

This award will support the development of innovative image analysis algorithms for the direct detection of faint exoplanets in the presence of scattered starlight from the host star. The research team will try a new interdisciplinary approach, using ideas from computer vision experiments, with the goal of reducing systematic errors resulting from incomplete modeling of background and scattered light. The work is expected to result in the creation of a flexible pipeline for the analysis of exoplanets and other objects. Codes from this project to the public will be released under open-source licenses.

该奖项将支持开发创新的图像分析算法，用于在主星星散射星光的情况下直接探测微弱的系外行星。 研究团队将尝试一种新的跨学科方法，利用计算机视觉实验的想法，以减少由于背景和散射光的不完整建模而导致的系统误差。 这项工作预计将为分析系外行星和其他物体创建一个灵活的管道。 该项目的代码将在开源许可证下发布。