Selection of radio pulsar candidates using artificial neural networks

R. P. Eatough, N. Molkenthin, M. Kramer +4

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 id…