Astronomical Image Processing in Undergraduate Education

本科教育中的天文图像处理

• 批准号: 8951130
• 负责人: Frederic Schloerb
• 金额: $ 4.39万
• 依托单位: Five Colleges Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-03-01 至 1992-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8951130&HistoricalAwards=false
• 关键词: Astronomical; Image; Processing; Undergraduate; Education

The Five College Astronomy Department will obtain 5 processing workstations for use by undergraduate students. The workstations will be used: (1) to develop laboratory exercises related to course work at the introductory and advanced levels; and (2) to enhance the research opportunities available to undergraduates in the department. Image processing was largely pioneered in astronomy, and it is now applied to a wide range of scientific and technical disciplines including geology, atmospheric science and medicine. Through the introduction of this hardware into astronomy lab courses, astronomy majors will be introduced to scientific analysis tools which have become as fundamental to astronomical research as the telescope, and the quality of laboratory exercises that they do will be substantially improved since they will involve processing of digital data obtained at the world's most powerful telescopes using state of the art instruments. For non-majors in our courses, the introduction of astronomical image processing provides a means to teach this basic scientific analysis tool in an exciting scientific context. Finally, the availability of image processing facilities to undergraduates will substantially improve their access to research opportunities within the department and improve the quality of the independent study and senior honors programs.

五所学院天文系将获得5台处理工作站，供本科生使用。这些工作站将用于：(1)开发与初级和高级课程工作相关的实验室练习；以及(2)为系本科生提供更多的研究机会。图像处理在很大程度上是天文学的先驱，现在它被广泛应用于包括地质学、大气科学和医学在内的广泛的科学和技术学科。通过将这种硬件引入天文实验室课程，主修天文学的学生将被介绍到科学分析工具，这些工具已经成为天文研究的基础，就像望远镜一样，他们所做的实验室练习的质量将得到大幅提高，因为他们将使用最先进的仪器处理从世界上最强大的望远镜获得的数字数据。对于我们课程中的非专业学生，天文图像处理的介绍提供了一种在激动人心的科学背景下教授这一基本科学分析工具的方法。最后，为本科生提供图像处理设施将大大改善他们在系内获得研究机会的机会，并提高自主学习和高级荣誉课程的质量。