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Published in 2023 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/accdc2
Abstract: Artificial intelligence methods are indispensable to identifying pulsars from large amounts of candidates. We develop a new pulsar identification system that utilizes the CoAtNet to score two-dimensional features of candidates, uses a multilayer perceptron to…
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Keywords:
candidate classification;
dimensional features;
using computer;
pulsar candidate ... See more keywords
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Published in 2018 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx3047
Abstract: One of the biggest challenges arising from modern large-scale pulsar surveys is the number of candidates generated. Here, we implemented several improvements to the machine learning (ML) classifier previously used by the LOFAR Tied-Array All-Sky…
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Keywords:
candidate classification;
classification lotaas;
pulsar;
per cent ... See more keywords