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Investigations of the nonlinear LMC Cepheid period-luminosity relation with testimator and Schwarz Information Criterion methods

机译:用证明者和Schwarz信息准则方法研究非线性LMC造父变星的周期-发光度关系

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摘要

In this paper, we investigate the linearity versus nonlinearity of the Large Magellanic Cloud (LMC) Cepheid period-luminosity (P-L) relation using two statistical approaches not previously applied to this problem: the testimator method and the Schwarz Information Criterion (SIC). The testimator method is extended to multiple stages for the first time and is shown to be unbiased, and the variance of the estimated slope can be proved to be smaller than the standard slope estimated from linear regression theory. The Schwarz Information Criterion (also known as the Bayesian Information Criterion) is more conservative than the Akaike Information Criterion and tends to prefer lower order models. By using simulated data sets, we verify that these statistical techniques can be used to detect intrinsically linear and nonlinear P-L relations. These methods are then applied to independent LMC Cepheid data sets from the OGLE and MACHO projects. Our results imply that there is a change of slope in longer period ranges for all of the data sets. This strongly supports previous results obtained from independent statistical tests, which show that the observed LMC P-L relation is nonlinear, with a break period at or around 10 days.
机译:在本文中,我们使用两种以前未应用到此问题的统计方法来研究大麦哲伦云(LMC)造父变星的周期-发光度(P-L)关系的线性与非线性:证明者方法和Schwarz信息准则(SIC)。证明者方法首次扩展到多个阶段,并且证明是无偏的,并且可以证明估计斜率的方差小于从线性回归理论估计的标准斜率。 Schwarz信息准则(也称为贝叶斯信息准则)比Akaike信息准则更为保守,并且倾向于使用低阶模型。通过使用模拟数据集,我们验证了这些统计技术可用于检测本质上线性和非线性的P-L关系。然后将这些方法应用于来自OGLE和MACHO项目的独立LMC造父变星数据集。我们的结果表明,所有数据集的较长时期内的斜率都有变化。这有力地支持了从独立统计测试中获得的先前结果,该结果表明所观察到的LMC P-L关系是非线性的,中断时间为10天左右。

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