Detecting abrupt changes in the spectra of high-energy astrophysical sources
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Published version
Accepted version
Author(s)
Wong, RKW
Kashyap, VL
Lee, TCM
van Dyk, David
Type
Journal Article
Abstract
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 ℓ1ℓ1 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.
Date Issued
2016-07-22
Date Acceptance
2016-04-12
Citation
Annals of Applied Statistics, 2016, 10 (2), pp.1107-1134
ISSN
1941-7330
Publisher
Institute of Mathematical Statistics
Start Page
1107
End Page
1134
Journal / Book Title
Annals of Applied Statistics
Volume
10
Issue
2
Copyright Statement
© Institute of Mathematical Statistics 2016. The version of record is also available from the journal website: http://projecteuclid.org/info/euclid.aoas.
Sponsor
The Royal Society
Commission of the European Communities
Grant Number
WM110023
FP7-PEOPLE-2012-CIG-321865
Subjects
Statistics & Probability
Statistics
Publication Status
Published