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. © 2010 The Authors. Journal compilation. © 2010 RAS.
CITATION STYLE
Eatough, R. P., Molkenthin, N., Kramer, M., Noutsos, A., Keith, M. J., Stappers, B. W., & Lyne, A. G. (2010). Selection of radio pulsar candidates using artificial neural networks. Monthly Notices of the Royal Astronomical Society, 407(4), 2443–2450. https://doi.org/10.1111/j.1365-2966.2010.17082.x
Mendeley helps you to discover research relevant for your work.