POWRE: A Comprehensive Library of Observational Near-Infrared Stellar Spectra

摘要：Marcum AST 9973812项目的主要目的是建立一个中等（~1-5埃）分辨率的近红外波段（0.9-1.8微米）观测恒星光谱库。这个光谱库将用于探索性研究，将这些数据与现有的光学数据结合起来，为未来星系恒星群研究提供可能的应用。该项目有一个明确的目标，因此将产生一个有形的“最终产品”（例如，光谱地图集），它具有跨学科应用的潜力，例如比较理论恒星模型大气和识别目前未知的近红外（近红外）不透明源在冷恒星大气中。该项目的一个优点是，已经证明了获得大量（~200）恒星的高质量近红外光谱的可行性。然而，由于这是第一次尝试产生“模板”光谱来表征特定恒星类型的“平均”近红外特征，该项目将涉及创造创新技术来完成这项必要的任务。虽然这是光谱的常见做法，但“平均”一组光谱以产生“模板”近红外光谱的问题与该部分光谱中的大量吸收特征有关，并且在冷恒星中缺乏真正的“连续体”，可用于标准化光谱。进一步预计，由于没有完成这项任务的标准化方法，必须开发技术将近红外数据与现有光学数据“拼接”。事实上，一些必要的数据已经存在。这意味着本科生助理可以立即开始学习如何减少数据（已经创建了软件来促进数据减少）。甚至在收集到任何额外数据之前，就可以开始开发这些潜在问题的解决方案。该奖项由天文科学司和数学与物理科学局多学科活动办公室提供资金支持。

Abstract - Marcum AST 9973812The main aim of this project is the construction of an observational, near-infrared wavelength (0.9-1.8 microns) stellar spectral library of moderate (~1-5 Angstroms) resolution. This spectral library will be used for exploratory investigations in combining these data with existing optical data, for possible future applications in stellar population studies of galaxies. The project has a well-defined goal and thus will produce a tangible "end product" (e.g., the spectral atlas) which has potential for use in crossdisciplinary applications, such as comparison of theoretical stellar model atmospheres and the identification of currently unknown near-infrared (near-IR) opacity sources in cool stellar atmospheres.An advantage of this project is that the feasibility of obtaining high-quality near-IR spectra for a large number (~200) of stars has already been demonstrated. However, as this is one of the first attempts to produce "template" spectra characterizing the "average" near IR features in a particular stellar type, the project will involve the creation of innovative techniques to accomplish this necessary task. While this is common practice for optical spectra, problems in "averaging" a set of spectra to produce a "template" near-IR spectrum are related to the large number of absorption features in that part of the spectrum, and the lack of a true "continuum in cool stars which could be used to normalize the spectra. It is further anticipated that techniques will have to be developed to "splice" the near-IR data with existing optical data, since no standardized method of accomplishing this task exists. The fact is that some of the necessary data already exists. This means that undergraduate student assistants can begin learning how to reduce the data immediately (software has already been created to facilitate data reductions). The development of solutions to these potential problems can begin even before any additional data is collected.This award is supported by funds from the Division of Astronomical Sciences and the Office of Multidisciplinary Activities in the Directorate of Mathematical and Physical Sciences.