A critique of supernova data analysis in cosmology

作     者：Ram Gopal Vishwakarma Jayant V. Narlikar 

作者机构：Unidad Académica de Matemáticas Universidad Autónoma de Zacatecas Inter-University Centre for Astronomy and Astrophysics 

出 版 物：《Research in Astronomy and Astrophysics》 (天文和天体物理学研究（英文版）)

年 卷 期：2010年第10卷第12期

页      面：1195-1198页

核心收录：

学科分类：0709[理学-地质学] 07[理学] 0708[理学-地球物理学] 070401[理学-天体物理] 0704[理学-天文学] 0825[工学-航空宇航科学与技术] 

主　　题：cosmology: observations    supernovae Ia: general 

摘      要：Observational astronomy has shown significant growth over the last decade and has made important contributions to cosmology. A major paradigm shift in cosmology was brought about by observations of Type Ia supernovae. The notion that the universe is accelerating has led to several theoretical challenges. Unfortunately, although high-quality supernovae data-sets are being produced, their statistical anal- ysis leaves much to be desired. Instead of using the data to directly test the model, several studies seem to concentrate on assuming the model to be correct and limiting themselves to estimating model parameters and internal errors. As shown here, the important purpose of testing a cosmological theory is thereby vitiated.