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arXiv 1003.6076astro-ph.SR
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似然比检验在星震学模态识别中的应用

On the likelihood-ratio test applied in asteroseismology for mode identification

David Salabert, Rafael Garcia, Savita Mathur

摘要:

确定通过星震学测量的类太阳振荡模式是推断恒星内部物理特性的必要条件。当观察到大量低信噪比的振荡模式时,就会出现困难。在这些情况下,通常使用似然比检验来区分可能的情况。我们在这里提出的似然比测试的统计分析,并讨论其准确性,以确定正确的模式。我们使用AsteroFLAG人造恒星,模拟了一系列的星等,倾角和旋转速率。我们表明,似然比测试是适当的到一定的幅度(信噪比)。

英文摘要:

The identification of the solar-like oscillation modes, as measured by asteroseismology, is a necessary requirement in order to infer the physical properties of the interior of the stars. Difficulties occur when a large number of modes of oscillations with a low signal-to-noise ratio are observed. In those cases, it is of common use to apply a likelihood-ratio test to discriminate between the possible scenarios. We present here a statistical analysis of the likelihood-ratio test and discuss its accuracy to identify the correct modes. We use the AsteroFLAG artificial stars, simulated over a range of magnitude, inclination angle, and rotation rate. We show that the likelihood-ratio test is appropriate up to a certain magnitude (signal-to-noise ratio).

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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