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Evidence for nonlinear and chaotic behaviour in pulsar spin-down rates

Published online by Cambridge University Press:  20 March 2013

Andrew Seymour
Affiliation:
West Virginia University, United States email: seymour.andrew@gmail.com
Duncan Lorimer
Affiliation:
West Virginia University, United States email: seymour.andrew@gmail.com
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Abstract

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We present evidence for chaotic dynamics in pulsar spin-down rates originally measured by Lyne et al. (2010). Using techniques that allow us to re-sample the original measurements without losing structural information, we have searched for evidence for a strange attractor in the time series of frequency derivative for each pulsar. Our measurements of correlation dimension and Lyapunov exponent show, particularly in the case of PSR B1828-11, that the underlying behavior appears to be driven by a strange attractor with approximately three governing nonlinear equations.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013