Estimation of transition redshift based on Reinsch splines*Supported by the National Natural Science Foundation of China. (March 2015)

• Record Type: Journal Article
• Authors: Lü, Guo-Dong; Liu, De-Zi; Yuan, Shuo; Zhang, Tong-Jie
• Is Part Of: Research in astronomy and astrophysics. Volume 15:Number 3(2015:Mar.)
• Page Start: 305
• Page End: 312
• Publication Date: 2015-03
• Subjects: cosmological parameters -- methods: data analysis -- numerical; Astronomy -- Periodicals; Astrophysics -- Periodicals; 520.5
• DOI: 10.1088/1674-4527/15/3/001
• Languages: English
• ISSNs: 1674-4527

Abstract

Abstract: Many schemes have been proposed to define a model-independent constraint on cosmological dynamics, such as the nonparametric dark energy equation of state ω( z ) or the deceleration parameter q ( z ). These methods usually contain derivatives with respect to observational data with noise. However, there can be large uncertainties when one estimates values with numerical differentiation, especially when noise is significant. We introduce a global numerical differentiation method, first formulated by Reinsch, which is smoothed by cubic spline functions, and apply it to the estimation of the transition redshift z t with a simulated expansion rate E ( z ) based on observational Hubble parameter data. We also discuss some deficiencies and limitations of this method.