Gaussian processes reconstruction of dark energy from observational data
文献类型：期刊论文
| 作者 | Zhang, MJ; Li, H ; Li H(李虹); Zhang MJ(张明建)
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| 刊名 | EUROPEAN PHYSICAL JOURNAL C
 |
| 出版日期 | 2018 |
| 卷号 | 78期号:6页码:460 |
| ISSN号 | 1434-6044 |
| DOI | 10.1140/epjc/s10052-018-5953-3 |
| 文献子类 | Article |
| 英文摘要 | In the present paper, we investigate the dark energy equation of state using the Gaussian processes analysis method, without confining a particular parametrization. The reconstruction is carried out by adopting the background data including supernova and Hubble parameter, and perturbation data from the growth rate. It suggests that the background and perturbation data both present a hint of dynamical dark energy. However, the perturbation data have a more promising potential to distinguish non-evolution dark energy including the cosmological constant model. We also test the influence of some parameters on the reconstruction. We find that the matter density parameter Omega(m0) has a slight effect on the background data reconstruction, but has a notable influence on the perturbation data reconstruction. While the Hubble constant presents a significant influence on the reconstruction from background data. |
| 电子版国际标准刊号 | 1434-6052 |
| WOS关键词 | GROWTH-RATE ; REDSHIFT-SPACE ; GALAXIES ; SUPERNOVAE ; CONSTANT ; GRAVITY ; MODELS |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000434419800004 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/285998]  |
| 专题 | 高能物理研究所_粒子天体物理中心 |
| 通讯作者 | Li H(李虹) |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Zhang, MJ,Li, H,Li H,et al. Gaussian processes reconstruction of dark energy from observational data[J]. EUROPEAN PHYSICAL JOURNAL C,2018,78(6):460. |
| APA | Zhang, MJ,Li, H,李虹,&张明建.(2018).Gaussian processes reconstruction of dark energy from observational data.EUROPEAN PHYSICAL JOURNAL C,78(6),460. |
| MLA | Zhang, MJ,et al."Gaussian processes reconstruction of dark energy from observational data".EUROPEAN PHYSICAL JOURNAL C 78.6(2018):460. |
入库方式： OAI收割
来源：高能物理研究所
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