期刊信息
- 刊名： 河北师范大学学报（自然科学版）Journal of Hebei Normal University (Natural Science)
- 主办： 河北师范大学
- ISSN： 1000-5854
- CN： 13-1061/N
- 中国科技核心期刊
- 中国期刊方阵入选期刊
- 中国高校优秀科技期刊
- 华北优秀期刊
- 河北省优秀科技期刊
利用高斯过程方法限制转移红移
-
1. 北京大学 物理学院 天文系, 北京 100871;
2. 北京师范大学 天文系, 北京 100875;
3. 德州学院 机电工程学院, 山东 德州 253023 -
DOI：10.13763/j.cnki.jhebnu.nse.2017.06.007
Constraining Transition Redshift by Using Gaussian Processes
摘要/Abstract
摘要：
高斯过程方法是一种不依赖模型的数据重构方法.介绍了高斯过程方法的原理、优势以及目前的一些应用，并利用高斯过程方法分别在哈勃参量完整数据集和年龄微分法哈勃参量数据集2种背景下重构了哈勃参量，限制了H0并进行了对比，利用重构的数据结果限制了转移红移，所得结果为zt=0.68±0.01.
Abstract：
Gaussian process (GP),which is a technique to reconstruct a function from observational data without assuming specific models,is paid more and more attention.We introduce the principle and application of GP and the advantages of its applications.By using this method with the whole observed dataset and galaxy differential age method,we reconstruct Hubble parameter and determine H0,and the results constrain transition redshift as zt=0.68±0.01.
关键词
Key words：
Gaussian processes
;
data reconstruction
;
Hubble parameter
;
transition redshift
参考文献 15
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