theapplicationofcointegrationtheoryinensemblepulsartimescalealgorithm
文献类型：期刊论文
| 作者 | Gao Feng; Tong Minglei ; Gao Yuping; Yang Tinggao; Zhao Chengshi
|
| 刊名 | researchinastronomyandastrophysics
 |
| 出版日期 | 2019 |
| 卷号 | 19期号:7 |
| ISSN号 | 1674-4527 |
| 英文摘要 | Employing multiple pulsars and using an appropriate algorithm to establish ensemble pulsar timescale can reduce the influences of various noises on the long-term stability of pulsar timescale, compared to a single pulsar. However, due to the low timing precision and significant red noises of some pulsars, their participation in the construction of ensemble pulsar timescale is often limited. Inspired by the principle of solving non-stationary sequence modeling using co-integration theory, we put forward an algorithm based on co-integration theory to establish an ensemble pulsar timescale. It is found that this algorithm can effectively suppress some noise sources if a co-integration relationship between different pulsar data exists. Different from the classical weighted average algorithm, the co-integration method provides the chance for a pulsar with significant red noises to be included in the establishment of an ensemble pulsar timescale. Based on data from the North American Nanohertz Observatory for Gravitational Waves(NANOGrav), we found that the co-integration algorithm can successfully reduce several timing noises and improve the long-term stability of the ensemble pulsar timescale. |
| 语种 | 英语 |
| 源URL | [http://210.72.145.45/handle/361003/9693]  |
| 专题 | 国家授时中心_守时理论与方法研究室 |
| 作者单位 | 中国科学院国家授时中心 |
| 推荐引用方式 GB/T 7714 | Gao Feng,Tong Minglei,Gao Yuping,et al. theapplicationofcointegrationtheoryinensemblepulsartimescalealgorithm[J]. researchinastronomyandastrophysics,2019,19(7). |
| APA | Gao Feng,Tong Minglei,Gao Yuping,Yang Tinggao,&Zhao Chengshi.(2019).theapplicationofcointegrationtheoryinensemblepulsartimescalealgorithm.researchinastronomyandastrophysics,19(7). |
| MLA | Gao Feng,et al."theapplicationofcointegrationtheoryinensemblepulsartimescalealgorithm".researchinastronomyandastrophysics 19.7(2019). |
入库方式： OAI收割
来源：国家授时中心
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