Collaborative Research: SGER: Mining for Planets

合作研究：SGER：行星采矿

• 批准号: 0540921
• 负责人: Charles Alcock
• 金额: $ 7.04万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0540921&HistoricalAwards=false
• 关键词: Collaborative; Research; SGER; Mining; Planets

This project is developing novel, scalable techniques to mine massive astronomical survey databases (66 million lightcurves now available, growing to ~100 billion in a decade) for the signatures of planets around other stars. Giant astronomical surveys will soon monitor much of the sky regularly, detecting vast numbers of interesting, variable astronomical objects. These objects will range from small solar system bodies to distant quasars; in the middle of the range of scales the surveys will find planets around other stars when they transit (pass in front of) their parent stars. The objective of this proposal is to get ready for this new treasure trove. Specifically, this project is: (1) developing new, scalable techniques to identify extra-solar planets in synoptic survey data, and (2) preserving novelty detection when the volume of data becomes so large that the scientists are "removed" from the data. The goal is to discover new extra-solar planets.The outcome of this project will be new techniques for mining these extremely massive databases, and a preliminary survey for candidate planets. This will enable follow-up work to scour new data as they become available. The datamining tools will have impact that extends beyond the needs of astronomy. The screening of time-series data for interesting events occurs in many arenas, ranging from national defense to the tracking of commercial transactions.

该项目正在开发新颖的、可扩展的技术，以挖掘大规模的天文测量数据库（现在有6600万个光变曲线，十年内将增加到1000亿个），以获得其他恒星周围行星的特征。大型天文观测将很快定期监测大部分天空，探测大量有趣的、可变的天体。这些天体的范围从太阳系的小天体到遥远的类星体;在尺度范围的中间，当其他恒星过境（经过）其母恒星时，巡天将发现它们周围的行星。这一提议的目的是为这一新的宝库做好准备。具体而言，该项目是：（1）开发新的、可扩展的技术，以识别天气调查数据中的太阳系外行星;（2）当数据量变得如此之大，以至于科学家被从数据中“删除”时，保留新奇的检测。其目标是发现新的太阳系外行星。该项目的成果将是挖掘这些极其庞大的数据库的新技术，以及对候选行星的初步调查。 这将使后续工作能够在获得新数据时进行搜索。 数据挖掘工具的影响将超出天文学的需要。从国防到商业交易跟踪，在许多领域都需要对时间序列数据进行筛选，以发现有趣的事件。