Constructing a cosmological model-independent Hubble diagram of type Ia supernovae with cosmic chronometers

被引:32
|
作者
Li, Zhengxiang [1 ]
Gonzalez, J. E. [2 ]
Yu, Hongwei [3 ,4 ,5 ]
Zhu, Zong-Hong [1 ]
Alcaniz, J. S. [2 ]
机构
[1] Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China
[2] Observ Nacl, BR-20921400 Rio De Janeiro, Brazil
[3] Ningbo Univ, Ctr Nonlinear Sci, Ningbo 315211, Zhejiang, Peoples R China
[4] Ningbo Univ, Dept Phys, Ningbo 315211, Zhejiang, Peoples R China
[5] Hunan Normal Univ, Synerget Innovat Ctr Quantum Effects & Applicat, Chnagsha 410081, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
DARK-ENERGY; SPACE-TELESCOPE; LEGACY SURVEY; EXPANSION HISTORY; MATTER CREATION; KINEMATIC TESTS; CONSTRAINTS; UNIVERSE; CONSTANT; PARAMETERS;
D O I
10.1103/PhysRevD.93.043014
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We apply two methods, i.e., the Gaussian processes and the nonparametric smoothing procedure, to reconstruct the Hubble parameter H(z) as a function of redshift from 15 measurements of the expansion rate obtained from age estimates of passively evolving galaxies. These reconstructions enable us to derive the luminosity distance to a certain redshift z, calibrate the light-curve fitting parameters accounting for the ( unknown) intrinsic magnitude of type Ia supernova (SNe Ia), and construct cosmological model-independent Hubble diagrams of SNe Ia. In order to test the compatibility between the reconstructed functions of H(z), we perform a statistical analysis considering the latest SNe Ia sample, the so-called joint light-curve compilation. We find that, for the Gaussian processes, the reconstructed functions of Hubble parameter versus redshift, and thus the following analysis on SNe Ia calibrations and cosmological implications, are sensitive to prior mean functions. However, for the nonparametric smoothing method, the reconstructed functions are not dependent on initial guess models, and consistently require high values of H-0, which are in excellent agreement with recent measurements of this quantity from Cepheids and other local distance indicators.
引用
收藏
页数:7
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