The Catalina Real-Time Transient Survey (CRTS)

卡塔利娜实时瞬态调查 (CRTS)

• 批准号: 0909182
• 负责人: Stanislav Djorgovski
• 金额: $ 88.92万
• 依托单位: California Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0909182&HistoricalAwards=false
• 关键词: Catalina; Real; Time; Transient; Survey

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Dr. Djorgovski and his team will use the data stream from the NASA-funded Catalina Sky Survey (CSS) to search for transient astronomical objects including flare stars, gamma-ray bursts, and strong microlensing events. That survey uses two wide-field telescopes in Arizona and one in Australia to catalog objects in the Solar System, particularly asteroids on orbits that bring them close to Earth. The team will build an open optical-transient discovery engine to compare image from CSS with earlier images of the same piece of sky and identify sources that have brightened. The team will provide the resulting data stream on a public server accessed by Virtual Observatory protocols, so that it is available to the wider community for immediate followup observations. Graduate and undergraduate students will be trained by participating in the research. The team plans to work with Microsoft's World Wide Telescope project to present the event stream in a form accessible to amateur astronomers and the general public. This project will be the first that allows rapid followup of such a wide range of bright transient sources, and can act as a testbed to develop scientific strategies and procedures. The resulting science is potentially transformative, and will inform decisions on building and operating future facilities such as the Large Synoptic Survey Telescope.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。 Djorgovski博士和他的团队将使用NASA资助的Catalina Sky Survey（CSS）的数据流来寻找瞬态天文对象，包括耀斑恒星，伽马射线爆发和强烈的微验证事件。 该调查使用亚利桑那州的两台宽大望远镜，一辆在澳大利亚使用太阳系中的对象，尤其是轨道上的小行星，使它们靠近地球。 该团队将构建一个开放的光传输发现引擎，以将CSS的图像与同一天空的较早图像进行比较，并确定亮度亮度的来源。 该团队将在虚拟天文台协议访问的公共服务器上提供所得的数据流，以便为更广泛的社区提供立即的后续观察。 研究生和本科生将通过参加研究来接受培训。 该团队计划与微软的万维网望远镜项目合作，以业余天文学家和公众可以访问的形式介绍活动流。 该项目将是第一个可以快速跟踪如此广泛的明亮瞬态来源的项目，并可以充当测试台以制定科学策略和程序。 由此产生的科学具有潜在的变革性，并将为建筑和运营未来设施（例如大型Synoptic调查望远镜）的决策提供信息。