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	Gaussian processes reconstruction of dark energy from observational data
	Zhang, Ming-Jian; Li, Hong
刊名	European physical journal c
	2018-06-07
卷号	78期号:6页码:12
ISSN号	1434-6044
DOI	10.1140/epjc/s10052-018-5953-3
通讯作者	Li, hong(hongli@ihep.ac.cn)
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.
WOS关键词	GROWTH-RATE ; REDSHIFT-SPACE ; GALAXIES ; SUPERNOVAE ; CONSTANT ; GRAVITY ; MODELS
WOS研究方向	Physics
WOS类目	Physics, Particles & Fields
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000434419800004
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2177508
专题	高能物理研究所
通讯作者	Li, Hong
作者单位	Chinese Acad Sci, Inst High Energy Phys, Key Lab Particle Astrophys, POB 918-3, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Ming-Jian,Li, Hong. Gaussian processes reconstruction of dark energy from observational data[J]. European physical journal c,2018,78(6):12.
APA	Zhang, Ming-Jian,&Li, Hong.(2018).Gaussian processes reconstruction of dark energy from observational data.European physical journal c,78(6),12.
MLA	Zhang, Ming-Jian,et al."Gaussian processes reconstruction of dark energy from observational data".European physical journal c 78.6(2018):12.

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