ITR - ASE - int+dmc+soc: Automated Astrometry for Time-Domain and Distributed Astrophysics

ITR - ASE - int dmc soc：时域和分布式天体物理学的自动天体测量

• 批准号: 0428465
• 负责人: David Hogg
• 金额: $ 50.41万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0428465&HistoricalAwards=false
• 关键词: ITR; ASE; int+dmc+soc; Automated; Astrometry

AST-0428465HoggThis project is an international collaboration between computer scientists and astrophysicists to build and operate an astrometry engine to create correct, standards-based astrometric headers for every useful astronomical image ever taken, past and future, in any state of archival disarray. This service product will be developed, tested, and installed at ground-based observatories, providing a standards-based description of the usually non-linear transformation between image coordinates and sky coordinates, with the intent being to have no 'false positives' but maybe the occasional 'no answer'. As the product matures, it will return calibration and band-pass information from standards identified in the image, and future versions may even be able to work without any prior information about approximate scale, location, and orientation. Some subset of trustworthy data will be used to improve the astrometric catalogs and enhance the calibration engine. Removing this barrier to the use of legacy or badly archived data will greatly extend astronomical timelines into the past. This research will facilitate any work with distributed heterogeneous datasets, and create robust and efficient algorithms for solving the fundamental registration problem across many fields of science. The automation of astrometry will free a great deal of future time and effort throughout the community, and the processing of both new and existing material will significantly enhance the available data archives and their use for both science and education.

AST-0428465Hogg 该项目是计算机科学家和天体物理学家之间的一项国际合作，旨在构建和操作一个天体测量引擎，为过去和未来拍摄的每张有用的天文图像（无论是过去还是未来）在任何档案混乱状态下创建正确的、基于标准的天体测量标题。 该服务产品将在地面观测站进行开发、测试和安装，提供图像坐标和天空坐标之间通常非线性变换的基于标准的描述，目的是不出现“误报”，但可能偶尔出现“无人应答”的情况。 随着产品的成熟，它将根据图像中识别的标准返回校准和带通信息，未来的版本甚至可以在没有任何有关大致比例、位置和方向的事先信息的情况下工作。 一些值得信赖的数据子集将用于改进天体测量目录并增强校准引擎。 消除使用遗留数据或归档不良数据的障碍将大大延长天文时间线。 这项研究将促进分布式异构数据集的任何工作，并创建强大而高效的算法来解决许多科学领域的基本配准问题。 天体测量的自动化将为整个社区节省大量未来的时间和精力，并且新材料和现有材料的处理将显着增强可用的数据档案及其在科学和教育方面的用途。