Redshift determination for quasar based on similarity measure
文献类型：期刊论文
| 作者 | Duan, FQ; Wu, FH; Singh, S; Singh, M; Apte, C; Perner, P |
| 刊名 | PATTERN RECOGNITION AND DATA MINING, PT 1, PROCEEDINGS
 |
| 出版日期 | 2005 |
| 卷号 | 3686页码:529-537 |
| 英文摘要 | With the advent of very large redshift surveys, automatic redshift measurement is becoming increasingly important. This paper presents a similarity measure based cross-correlation method for the redshift determination of quasar spectra. Cross-correlation is measured only for the redshift candidates that are determined by the emission line features of the observed spectrum. The similarity measure is defined as the weighted sum of several similarity evidences. Compared with the traditional cross-correlation based methods, our method can be used for higher redshift determination. Compared with the methods based on spectral line matching, our method is less sensitive to the quality of spectral line extraction. Experiment results indicate the high performance of the method. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000232247900058 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9188]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, FQ,Wu, FH,Singh, S,et al. Redshift determination for quasar based on similarity measure[J]. PATTERN RECOGNITION AND DATA MINING, PT 1, PROCEEDINGS,2005,3686:529-537. |
| APA | Duan, FQ,Wu, FH,Singh, S,Singh, M,Apte, C,&Perner, P.(2005).Redshift determination for quasar based on similarity measure.PATTERN RECOGNITION AND DATA MINING, PT 1, PROCEEDINGS,3686,529-537. |
| MLA | Duan, FQ,et al."Redshift determination for quasar based on similarity measure".PATTERN RECOGNITION AND DATA MINING, PT 1, PROCEEDINGS 3686(2005):529-537. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。