Principal Component Analysis of Active Galactic Nuclei Spectral Energy Distributions

小行星9523318 分析了不同类型活动星系核光谱能量分布的差异。 AGNS的SED跨越了电磁波谱的很大一部分。 本文将对大样本的各种类型活动星系核的SED进行主成分分析。 这种技术将被用来找到一个多变量的数据集的归一化组件（活动星系核的SED）在这种情况下，引起的数据集中的大部分方差。 完成的研究将有助于了解各种活动星系核的动力机制，并有助于确定它们之间存在何种关系。 一个更大的样本的活动星系核的SEDs将被组装和类型的数据将被检查。 特别是，将考虑观察结果的类型（宽带测光或分光光度计）。 将探讨数据中的选择效应和控制它们的方法。 将研究活动星系核各种发射成分的模型。 PCA的性能分解成物理上有意义的主成分的活动星系核的样本的SED将进行评估。 还将评估将观察到的SED与主成分拟合的技术。 最后，将制定计划，以进行认为必要的任何其他观察。

9523318 Clements The differences in the spectral energy distributions (SEDs) of the various types of active galactic nuclei willbe analyzed. The SEDs of AGNS span a large portion of the electromagnetic spectrum. Principal component analysis (PCA) will be performed on the SEDs of a large sample of AGNs of various types. This technique will be used to find the normalized components of a multivariable data set (the SEDs of the AGNs) in this case which give rise to most of the variance in the data set. The completed research will contribute to an understanding of the mechanisms which power the various types of AGNs and, in so doing, will help to determine what relationships exist among them. The SEDs of a larger sample of AGNs will be assembled and the types of data will be examined. In particular, the type of observations (broad band photometry or spectrophotometer) will be considered. Selection effects in the data and methods of controlling them will be explored. Models for the various AGN emission components will be investigated. The PCA's performance in decomposing the SEDs of a sample of AGNs into physically meaningful principal components will be evaluated. Techniques for fitting the observed SEDs with the principal components will also be evaluated. Finally, plans will be made for any additional observations that are deemed necessary.