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arXiv 0801.2484astro-ph
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超新星宇宙学中系统不确定性的量化

Quantifying systematic uncertainties in supernova cosmology

Jakob Nordin, Ariel Goobar, Jakob Jonsson

摘要:

用于绘制宇宙膨胀历史的Ia型超新星观测受到系统不确定性的影响,需要将其传播到宇宙学参数的估计中。我们提出了一个迭代的蒙特卡罗模拟和宇宙学拟合技术(SMOCK)调查的影响,误差来源后拟合的暗能量状态方程。这种方法对于跟踪非高斯相关效应的影响特别有用,例如红化校正误差、超新星的亮度演化、K校正、引力透镜等。我们使用Riess et al.(2007)中的“Gold”数据集来展示可能超过引用的统计不确定性的潜在系统不确定性的例子。

英文摘要:

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 for studies and optimization of future instruments, we use the ``Gold'' data-set in Riess et al. (2007) to show examples of potential systematic uncertainties that could exceed the quoted statistical uncertainties.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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