Undergraduate Image Processing Laboratory

在过去，照相底片提供了大部分 光学天文学 天文学本科生 因此，实验室课程被引入到设备中， 测量引擎和光圈光度计。 然而，现在大多数 探测器是电子的。 大多数天文数据都存在于 数字形式和一套新的分析工具已经取代了 老了 我们的本科生更容易获得这些新工具 学生将提供。 该部门最近加强了对实验室的重视- 基础培训，使各级学生有机会接触到 真实的数据的试验。 新开设的实验室课程 不要只专注于数据分析。 而是 学生学习收集数据，并了解数据可以 并认识到它的局限性。 天文学计划 审查委员会，由校长任命，进行五- 一年的回顾，强烈建议，实验室计划的 该部门将继续存在，甚至得到加强。 该部门最近升级了其学生观察 洛伊施纳天文台的设施，其中包括远程 观察能力。 积极的校园升级 设施，并强调图像处理作为工具， 现代天文学将得以开展。 学生将被提供 有机会收集他们自己的观测数据， 学生天文台，进行定量分析，绘制他们的 自己的结论，并了解不确定性。 专注于图像处理有很多好处：首先， 所有，它是直观的;人是视觉动物， 从图片中提取定量数据， 概念上的困难 其次，它适用于广泛的 所有波长范围内的天文问题。 最后，它的应用远远超出了天文用途。

In the past, the photographic plate provided the data for most of optical astronomy. Undergraduate students in astronomy laboratory classes were, therefore, introduced to equipment like measuring engines and iris photometers. Now, however, most detectors are electronic. Most astronomical data resides in digital form and a new set of analytical tools has replaced the old. Improved access to these new tools by our undergraduate students will be provided. The Department has recently increased its emphasis on laboratory- based training so that students at all levels have exposure to the trials of real data. Newly-implemented laboratory courses concentrate not just on the analysis of data. Rather, the students learn to collect data and to understand what the data can yield as well as appreciate its limitations. The Astronomy Program Review Committee, appointed by the Chancellor to conduct a five- year review, strongly recommended that the laboratory programs of the department be continued and, even strengthened. The Department has recently upgraded its student observing facilities at the Leuschner Observatory, which include remote observing capabilities. An aggressive upgrading of on campus facilities with and emphasis on image processing as the tool of modern astronomy will be carried out. Students will be provided with the opportunity to gather their own observational data at the student observatory, to analyze it quantitatively, to draw their own conclusions and to understand the uncertainties. The concentration on image processing has many benefits: first of all, it is intuitive; people are visual creatures and the extraction of quantitative data from pictures presents few conceptual difficulties. Secondly, it is applicable to a wide range of astronomical problems in all wavelength regions. Lastly, it has applications which go far beyond astronomical uses.