摘要
由于噪声、畸变、观测环境和观测设备、以及流量未定标等因素的影响,对天体光谱进行自动识别之前,需要对它进行相应的标准化/预处理。文章研究了对巡天光谱自动分类前的预处理——光谱流量的标准化问题。通过分析光谱流量的干扰因素及其特点,提出了流量数量级变化的基本模型,并给出了相应的流量标准化方法。通过对正常星系和类星体的分类实验,表明文章所给基本模型的正确性,以及所给流量标准化方法良好的性能。并且从理论上分析、比较、解释了上述方法在性能上的差异。特别需要指出的是,研究表明文献中通常采用的流量标准化方法的效果较差。该研究结果对于大型光谱巡天所产生的海量数据的其它自动处理研究(例如,红移测量,天体表面有效温度,和化学丰度估计等)也具有重要的指导意义。
Celestial spectra should be preprocessed before automated classification to eliminate the disturbance of noise, observation environment, and flux aberrance. In the present work, the authors studied the spectrum flux standardization problem. By analyzing the disturbing factors and their characteristics, the authors put forward a theoretical model for spectra flux, and correspondingly give several flux standardizing methods. The rationality/correctness of the model, and the satisfactory performance of the proposed methods have been obtained by the experiments over normal galaxies （NGs） and quasi-stellar object （Qso）. Furthermore, the authors theoretically analyze, compare and evaluate them. In particular, this work indicated that the conventional method is worse than the proposed one. And the investigation is also particularly significant for other automatic spectrum processing study, e. g. redshift determination, effective temperature, metallic estimation, etc.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2007年第7期1448-1451,共4页
Spectroscopy and Spectral Analysis
基金
国家"863"项目计划(2003AA133060)
国家自然科学基金项目(60202013)资助
关键词
光谱分类
流量模型
流量标准化
预处理
类星体
主成分分析
Celestial spectrum classification
Flux model
Flux standization
Preprocessing
Qso
Principal component analysis（PCA）
