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arXiv 1102.3237astro-ph.CO
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改进SNIa数据对宇宙学参数的约束

Improved constraints on cosmological parameters from SNIa data

M. C. March, R. Trotta, P. Berkes, G. D. Starkman, P. M. Vaudrevange

摘要:

我们提出了一种新的方法,贝叶斯分层模型的基础上,从SNIa的SALT-II光变曲线拟合获得的数据中提取宇宙学参数的约束。我们用模拟数据集证明,我们的方法在90%的时间内对宇宙学参数提供了更严格的统计约束,它通常将统计偏差降低了2-3倍,并且它具有比通常的卡方方法更好的覆盖特性。作为进一步的益处,获得了SNe的固有幅度的分散的全后验概率分布。我们将这种方法应用于最近的SNIa数据,并将它们与CMB和BAO数据相结合,我们得到Omega_m=0.28 +/- 0.02,Omega_Lambda=0.73 +/- 0.01(假设w=-1)和Omega_m=0.28 +/- 0.01,w=-0.90 +/- 0.05(假设平坦;仅统计不确定性)。我们限制SNIa种群B带幅度的固有色散,得到sigma_mu^int = 0.13 +/- 0.01 [mag]。系统不确定性的应用将在即将发表的论文中讨论。

英文摘要:

We present a new method based on a Bayesian hierarchical model to extract constraints on cosmological parameters from SNIa data obtained with the SALT-II lightcurve fitter. We demonstrate with simulated data sets that our method delivers tighter statistical constraints on the cosmological parameters over 90% of the time, that it reduces statistical bias typically by a factor ~ 2-3 and that it has better coverage properties than the usual chi-squared approach. As a further benefit, a full posterior probability distribution for the dispersion of the intrinsic magnitude of SNe is obtained. We apply this method to recent SNIa data, and by combining them with CMB and BAO data we obtain Omega_m=0.28 +/- 0.02, Omega_Lambda=0.73 +/- 0.01 (assuming w=-1) and Omega_m=0.28 +/- 0.01, w=-0.90 +/- 0.05 (assuming flatness; statistical uncertainties only). We constrain the intrinsic dispersion of the B-band magnitude of the SNIa population, obtaining sigma_mu^int = 0.13 +/- 0.01 [mag]. Applications to systematic uncertainties will be discussed in a forthcoming paper.

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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