The SDSS Quasar Survey

SDSS 类星体巡天

• 批准号: 0607634
• 负责人: Donald Schneider
• 金额: $ 44.64万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0607634&HistoricalAwards=false
• 关键词: SDSS; Quasar; Survey

AST-0607634SchneiderThe Sloan Digital Sky Survey (SDSS) Quasar Survey, when completed, will cover a quarter of the celestial sphere and should identify well over 100,000 quasars in the redshift range 0 to 5.5. Each quasar will have an accurate position, digital photometry in five broad bands, image morphology, and a wide coverage digital spectrum. The combination of areal coverage, sensitivity, photometric accuracy, broad wavelength coverage, and radio selection, make this a uniquely powerful quasar survey. This project covers both the current steady production and timely release of high quality easy-to-use data products, and scientific investigations with the SDSS quasar sample. The primary outcome will be the definitive luminosity function for many years to come for optically selected, luminous quasars. Other studies include the dependence of the quasar spectral energy distribution on redshift and luminosity, and the properties of host galaxies.The data products will be of great interest to large sections of the astronomical community, and far more useful because of the quality control provided by this study. Involved students and junior researchers will acquire not only scientific training but also experience with very large databases. The work will continue to be included in activities for the public and for high school science teachers.

斯隆数字巡天（SDSS）类星体巡天计划完成后，将覆盖天球的四分之一，并将识别出超过10万个红移范围在0到5.5之间的类星体。 每个类星体都将有一个精确的位置，五个宽波段的数字测光，图像形态和广泛的数字光谱。 面积覆盖、灵敏度、光度精度、宽波长覆盖和射电选择的结合，使这成为一个独特的强大的类星体调查。 该项目包括目前稳定生产和及时发布高质量的易于使用的数据产品，以及SDSS类星体样品的科学调查。 主要的成果将是确定的光度函数，在未来许多年的光学选择，发光类星体。 其他研究包括类星体光谱能量分布对红移和光度的依赖性，以及宿主星系的性质。这些数据产品将引起天文学界的极大兴趣，并且由于这项研究提供的质量控制，更加有用。 参与的学生和初级研究人员不仅将获得科学培训，还将获得使用大型数据库的经验。 这项工作将继续包括在为公众和高中科学教师举办的活动中。