论文标题
X射线和伽马射线天文学的时域方法
Time domain methods for X-ray and gamma-ray astronomy
论文作者
论文摘要
探索了低计数X射线和伽马射线源的各种统计方法，以了解时间域的变异性。可以使用非参数（Anderson-Darling和过度分散测试）和参数（基于顺序的可能性测试）工具来检测可变性。一旦检测到，可变性可以通过非参数（自相关功能，结构函数，小波分析）和参数（多个变化点模型，例如贝叶斯块，整数自动回归模型，C statistic和Poisson回归）方法来表征。概述了新的多维可变性检测方法。设计用于高能数据分析的软件包是不足的，但是在R统计软件环境中可以使用工具。此处介绍的大多数方法不常见于高能天文学中。
A variety of statistical methods for understanding variability in the time domain for low count rate X-ray and gamma-ray sources are explored. Variability can be detected using nonparametric (Anderson-Darling and overdispersion tests) and parametric (sequential likelihood-based tests) tools. Once detected, variability can be characterized by nonparametric (autocorrelation function, structure function,wavelet analysis) and parametric (multiple change point model such as Bayesian Blocks, integer autoregressive models, C-statistic and Poisson regression) methods. New multidimensional variability detection approaches are outlined. Software packages designed for high energy data analysis are deficient but tools are available in the R statistical software environment. Most of the methods presented here are not commonly used in high energy astronomy.
