Open Access
June 2016 Detecting abrupt changes in the spectra of high-energy astrophysical sources
Raymond K. W. Wong, Vinay L. Kashyap, Thomas C. M. Lee, David A. van Dyk
Ann. Appl. Stat. 10(2): 1107-1134 (June 2016). DOI: 10.1214/16-AOAS933


Variable-intensity astronomical sources are the result of complex and often extreme physical processes. Abrupt changes in source intensity are typically accompanied by equally sudden spectral shifts, that is, sudden changes in the wavelength distribution of the emission. This article develops a method for modeling photon counts collected from observation of such sources. We embed change points into a marked Poisson process, where photon wavelengths are regarded as marks and both the Poisson intensity parameter and the distribution of the marks are allowed to change. To the best of our knowledge, this is the first effort to embed change points into a marked Poisson process. Between the change points, the spectrum is modeled nonparametrically using a mixture of a smooth radial basis expansion and a number of local deviations from the smooth term representing spectral emission lines. Because the model is over-parameterized, we employ an $\ell_{1}$ penalty. The tuning parameter in the penalty and the number of change points are determined via the minimum description length principle. Our method is validated via a series of simulation studies and its practical utility is illustrated in the analysis of the ultra-fast rotating yellow giant star known as FK Com.


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Raymond K. W. Wong. Vinay L. Kashyap. Thomas C. M. Lee. David A. van Dyk. "Detecting abrupt changes in the spectra of high-energy astrophysical sources." Ann. Appl. Stat. 10 (2) 1107 - 1134, June 2016.


Received: 1 August 2015; Revised: 1 December 2015; Published: June 2016
First available in Project Euclid: 22 July 2016

zbMATH: 06625683
MathSciNet: MR3528374
Digital Object Identifier: 10.1214/16-AOAS933

Keywords: Astronomy , change point estimation , FK Comae Berenices , marked Poisson process , minimum description length principle , semi-parametric modeling , stars , stellar coronae , stellar flare , X-ray astronomy

Rights: Copyright © 2016 Institute of Mathematical Statistics

Vol.10 • No. 2 • June 2016
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