Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 407, Issue 4, Pages 2443-2450Publisher
OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2010.17082.x
Keywords
methods: data analysis; stars: neutron; pulsars: general
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Funding
- Science & Technology Facilities Council
- Commonwealth of Australia
- Studienstiftung des deutschen Volkes
- ERASMUS exchange programme
- Science and Technology Facilities Council [ST/G002487/1] Funding Source: researchfish
- STFC [ST/G002487/1] Funding Source: UKRI
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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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