论文标题
光谱时间滞后的异常值选择的伽马射线爆发
Outliers in spectral time lag selected gamma-ray bursts
论文作者
论文摘要
天体物理{样品}可能被某些异常值污染，这些异常值可能属于不同的子类。通过删除离群值，可以揭示下划线统计功能。 {更可靠的相关性可以用作宇宙学研究的标准蜡烛关系。}我们提出了围绕MEDOIDS（PAM）方法分区的伽马射线爆发的离群值。在这项工作中，我们从样本中选择三个参数，而所有参数都具有REST-FRAME光谱时间滞后（$τ_ {\ rm lag，i} $）。在大多数情况下，离群值是GRBS 980425B和030528A。对于没有异常值的样品进行线性回归。其中一些已经通过了假设检验，而另一些则没有。但是，即使对于通过样本，相关性也不是很重要。将来的工作应考虑更多参数组合。
It is possible that the astrophysical {samples} are polluted by some outliers, which might belong to a different sub-class. By removing the outliers, the underline statistical feature may be revealed. {A more reliable correlation can be used as a standard candle relation for the cosmological study.} We present outlier searching for gamma-ray bursts with Partitioning Around Medoids (PAM) method. In this work, we choose three parameters from the sample, while all of them having rest-frame spectral time lag ($τ_{\rm lag,i}$). In most cases, the outliers are GRBs 980425B and 030528A. Linear regression is carried out for the sample without the outliers. Some of them have passed hypothesis testing, while others have not. However, even for the passed sample, the correlation is not very significant. More parameter combinations should be considered in the future work.
