A machine learning approach for investigating spatial structures between spectral line sources: formaldehyde absorption versus methanol masers
文献类型：期刊论文
| 作者 | Daniel Okoh1,2,3; Jarken Esimbek1 ; Jianjun Zhou1; Xindi Tang1; Augustine Chukwude3; Johnson Urama3; Pius Okeke2,3
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| 刊名 | Research and review: journal of space science and technology
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| 出版日期 | 2013 |
| 卷号 | 2期号:2页码:1-11 |
| 通讯作者邮箱 | okodan2003@gmail.com |
| 关键词 | spectral lines k-means clustering machine learning formaldehyde absorptions methanol masers |
| ISSN号 | 2321-2837 |
| 通讯作者 | Daniel Okoh |
| 英文摘要 | In this paper the authors present fascinating ideas on using machine learning algorithms to study connections in spatial distributions between observed spectral line sources. The method has been illustrated using observations of 4.8 GHz formaldehyde absorptions and 6.7 GHz methanol masers in the Galaxy. Both spectral line features have been well-observed in close associations with galactic star-formation regions, and we initiate this study to understand spatial connections between them. We have implemented the K-means unsupervised clustering algorithm after using a modification of other machine learning practices to identify optimal number of structures in the galactic distributions of the observations. We found very close associations and interwoven spatial distributions in 25 of the 28 clusters identified in the work; formaldehyde absorptions were observed in all of the methanol maser clusters, and methanol masers were observed in all (but 3) of the formaldehyde clusters, an indication that the two lines are closely related. |
| 收录类别 | 其他 |
| 原文出处 | http://stmjournals.com/sci/index.php?journal=RRJoSST&page=article&op=view&path[]=404 |
| 语种 | 英语 |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/942]  |
| 专题 | 恒星形成与演化研究团组 新疆天文台_射电天文研究室 |
| 作者单位 | 1.Xinjiang Astronomical Observatory, 150 Science 1-Street, Urumqi, Xinjiang 830011, China 2.Center for Basic Space Science, University of Nigeria, Nsukka, 410001 Enugu State, Nigeria 3.Physics & Astronomy Department, University of Nigeria, Nsukka, Enugu State, Nigeria |
| 推荐引用方式 GB/T 7714 | Daniel Okoh,Jarken Esimbek,Jianjun Zhou,et al. A machine learning approach for investigating spatial structures between spectral line sources: formaldehyde absorption versus methanol masers[J]. Research and review: journal of space science and technology,2013,2(2):1-11. |
| APA | Daniel Okoh.,Jarken Esimbek.,Jianjun Zhou.,Xindi Tang.,Augustine Chukwude.,...&Pius Okeke.(2013).A machine learning approach for investigating spatial structures between spectral line sources: formaldehyde absorption versus methanol masers.Research and review: journal of space science and technology,2(2),1-11. |
| MLA | Daniel Okoh,et al."A machine learning approach for investigating spatial structures between spectral line sources: formaldehyde absorption versus methanol masers".Research and review: journal of space science and technology 2.2(2013):1-11. |
入库方式： OAI收割
来源：新疆天文台
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