An Extensive Photometric and Spectroscopic Survey of M33

萨拉耶迪尼博士(佛罗里达大学)将整理和分析来自加拿大-法国-夏威夷和斯巴鲁望远镜的档案成像数据，以得出M33中场星、星系星和星团本身的位置、星等和颜色。合成的星表将包含迄今为止M33最深和最宽的地面测光数据。场色等图(CMD)将利用合成CMD技术进行分析，以得出该场的恒星形成和化学富集史，而星系团CMD将通过与理论等时线和经验星团基准线的比较来分析，以估计它们的年龄和金属含量。这些结果将与星团的综合颜色一起使用，以进一步限制它们的年龄和金属活性。这些位置将被用来帮助描述M33的结构并搜索其外部的亚结构。除了通过可搜索的网络界面传播M33光度和天体测量目录的所有结果外，萨拉赫迪尼博士和他的团队还将编写一本食谱，用于对数据进行分析。本科生和研究生也将通过在这个项目的某些方面工作来进行培训。

Dr. Sarajedini (University of Florida) will reduce and analyze archival imaging data from the Canada-France-Hawaii and Subaru telescopes in order to derive positions, magnitudes and colors for field stars, cluster stars, and the clusters themselves in M33. The resultant catalog will contain the deepest and widest-field ground-based photometry for M33 to-date. The field color-magnitude diagrams (CMDs) will be analyzed with synthetic CMD techniques to derive the star formation and chemical enrichment history of the field, while the cluster CMDs will be analyzed by comparison to theoretical isochrones and empirical cluster fiducials in order to estimate their ages and metallcities. These results will be used in conjunction with the integrated colors of the clusters to further constrain their ages and metallicities. The positions will be used to help characterize the structure of M33 and to search for substructure in its outer parts.In addition to disseminating all of the results of the catalog of M33 photometrry and astrometry via a searchable web interface, Dr. Sarajedini and his group will also write a cook book for the analysis performed on the data. Undergraduate and graduate students will also be trained by working on certain aspects of this project.