Time domain methods for X-ray and gamma-ray astronomy [article]

Eric D. Feigelson, Vinay L. Kashyap, Aneta Siemiginowska
2022 arXiv   pre-print
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
more » ... utoregressive 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.
arXiv:2203.08996v1 fatcat:arfcliduv5ccdlhj24yfexk3na