Quantifying systematic uncertainties in supernova cosmology

Nordin, Jakob

doi:10.1088/1475-7516/2008/02/008

2008-02-12

Nordin, Jakob *

Goobar, Ariel

Jonsson, Jakob

DOI：10.1088/1475-7516/2008/02/008

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摘要

En 中文

Observations of Type Ia supernovae used to map the expansion history of the Universe suffer from systematic uncertainties that need to be propagated into the estimates of cosmological parameters. We propose an iterative Monte Carlo simulation and cosmology fitting technique (SMOCK) to investigate the impact of sources of error upon fits of the dark energy equation of state. This approach is especially useful to track the impact of non-Gaussian, correlated effects, e. g. reddening correction errors, brightness evolution of the supernovae, K-corrections, gravitational lensing, etc. While the tool is primarily aimed at studies and optimization of future instruments, we use the Gold data-set in Riess et al (2007 Astrophys. J. 659 98) to show examples of potential systematic uncertainties that could exceed the quoted statistical uncertainties.

Keyword:

supernova evolution

supernova type Ia

cosmological constant experiments

classical tests of cosmology

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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Cosmology and Astroparticle Physics

IF:

5.9

论文数:

1.3W

被引数:

4.7W

机构

Stockholm University

学者数:

1.8W

论文数: 1.7W

被引数: 32

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