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arXiv 1306.5589astro-ph.HE
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高斯混合模型与射电星布居综合

Gaussian mixture model and population synthesis of radio pulsars

A. P. Igoshev, S. B. Popov

摘要:

最近,Lee等人使用高斯混合模型(GMM)来研究射电脉冲星的星族。在P-dotP平面上的正态分布中,他们发现了四个簇。我们进一步发展这种方法,并将其应用于不同的合成脉冲星种群,以确定该方法是否可以有效地选择物理上不同的源组。我们检查了几种初始条件的组合,以及脉冲星演化和选择效应的模型。我们发现,在快速发展的对象的情况下,GMM是过度敏感的参数变化,不产生稳定的结果。我们的结论是,该方法并没有太多的帮助,以确定不同的初始参数或/和进化路径的子种群。由于同样的原因,GMM不能有效地区分正常射电望远镜的理论布居合成模型。

英文摘要:

Recently, Lee et al. used Gaussian mixture models (GMM) to study the radio pulsar population. In the distribution of normal pulsars in the P-dotP plane, they found four clusters. We develop this approach further and apply it to different synthetic pulsar populations in order to determine whether the method can effectively select groups of sources that are physically different. We check several combinations of initial conditions as well as the models of pulsar evolution and the selection effects. We find that in the case of rapidly evolving objects, the GMM is oversensitive to parameter variations and does not produce stable results. We conclude that the method does not help much to identify the sub-populations with different initial parameters or/and evolutionary paths. For the same reason, the GMM does not discriminate effectively between theoretical population synthesis models of normal radio pulsars.

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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