Collaborative Research: CDS&E: New Image Resampling Techniques for the Mapping Nearby Galaxies at Apache Point Observatory in the NASA Sloan Atlas

合作研究：CDS

• 批准号: 1909374
• 负责人: John Moustakas
• 金额: $ 5.94万
• 依托单位: Siena College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-15 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1909374&HistoricalAwards=false
• 关键词: Collaborative; Research; CDS& New; Image

Observations of a large population of galaxies in the local universe allows us to learn about how galaxies grow through star formation. Both star formation and the interaction of gas with the central black hole can have positive and negative feedback on the rate at which stars form in galaxies. This project will develop a new analysis tool for combining data taken from many different observatories on the ground and in space. The data will be used to produce a uniform catalog of nearby galaxies with images in wavelengths from ultraviolet to infrared, as well as spectra taken from some individual galaxies. The catalog will be of value to researchers who study galaxy growth.The Mapping Nearby Galaxies at APO (MaNGA) survey is providing spectroscopy across the face of 10,000 nearby galaxies selected from the NASA Sloan Atlas. This data enables a broad range of science on dynamics, star formation histories, active galactic nuclei, and more. The most productive use of this new data set is to use tin conjunction with the multiwavelength imaging data sets available for these galaxies from the ultraviolet through to the infrared. The project will produce images consistently sampled in position across all of these wavelengths and within the spectra, and will publicly release the data set. They will develop a better analysis technique that minimizes the negative effects of resampling. The technique may have broad application inside and outside astronomy. An algorithm exploiting this technique will also be made publicly available.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

对本地宇宙中大量星系的观测使我们能够了解星系是如何通过星星的形成而成长的。星星的形成和气体与中心黑洞的相互作用都可以对星系中恒星形成的速度产生积极和消极的反馈。该项目将开发一种新的分析工具，用于合并从地面和空间许多不同观测站获得的数据。这些数据将用于制作一个统一的附近星系目录，包括从紫外线到红外线波长的图像，以及从一些单个星系拍摄的光谱。该目录将对研究星系生长的研究人员有价值。APO附近星系映射（MaNGA）调查提供了从NASA斯隆地图集中选择的10，000个附近星系的光谱。这些数据使动力学，星星形成历史，活动星系核等科学范围广泛。这一新数据集最有效的用途是将其与这些星系从紫外线到红外线的多波长成像数据集结合使用。该项目将产生在所有这些波长和光谱范围内一致采样的图像，并将公开发布数据集。他们将开发出一种更好的分析技术，最大限度地减少复发的负面影响。这项技术可能在天文学内外都有广泛的应用。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。