3 papers
astro-ph.IM2020
Radio Frequency Interference Mitigation based on the ArPLS and SumThreshold Method
Qingguo Zeng, Xue Chen, Xiangru Li +4
As radio telescopes become sensitive, radio frequency interference (RFI) is more and more serious for interesting signals of radio astronomy. There exist demands for developing an…
astro-ph.IM2020
Pulsar Candidate Sifting Using Multi-input Convolution Neural Networks
Haitao Lin, Xiangru Li, Qingguo Zeng
Pulsar candidate sifting is an essential process for discovering new pulsars. It aims to search for the most promising pulsar candidates from an all-sky survey, such as High Time R…
astro-ph.IM2020
Concat Convolutional Neural Network for Pulsar Candidate Selection
Qingguo Zeng, Xiangru Li, Haitao Lin
Pulsar searching is essential for the scientific research in the field of physics and astrophysics. As the development of the radio telescope, the exploding volume and it growth sp…