Selection of radio pulsar candidates using artificial neural networks

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Eatough, R. P.; Molkenthin, N.; Kramer, M.; Noutsos, A.; Keith, M. J.; Stappers, B. W.; Lyne, A. G.;
  • Identifiers: doi: 10.1111/j.1365-2966.2010.17082.x
  • Subject: Astrophysics - Astrophysics of Galaxies | Astrophysics - Instrumentation and Methods for Astrophysics
    arxiv: Astrophysics::High Energy Astrophysical Phenomena | Astrophysics::Cosmology and Extragalactic Astrophysics | Astrophysics::Instrumentation and Methods for Astrophysics

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. ... View more
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