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Selection of radio pulsar candidates using artificial neural networks

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arxiv 1005.5068 v1 pith:5L3N7EFR submitted 2010-05-27 astro-ph.IM astro-ph.GA

R. P. Eatough , N. Molkenthin , M. Kramer , A. Noutsos , M. J. Keith , B. W. Stappers , A. G. Lyne This is my paper · ORCID
classification astro-ph.IMastro-ph.GA
keywords pulsarcandidatesartificialneuralradiosurveystechniqueapplied
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Radio pulsar surveys are producing many more pulsar candidates than can be inspected by human experts in a practical length of time. Here we present a technique to automatically identify credible pulsar candidates from pulsar surveys using an artificial neural network. The technique has been applied to candidates from a recent re-analysis of the Parkes multi-beam pulsar survey resulting in the discovery of a previously unidentified pulsar.

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