Early-fusion Based Pulsar Identification with Smart Under-sampling

The discovery of pulsars is of great significance in the field of physics and astronomy. As the astronomical equipment produces a large amount of pulsar data, an algorithm for automatically identifying pulsars becomes urgent. We propose a deep learning framework for pulsar recognition. In response t...

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Veröffentlicht in:	arXiv.org 2021-07
Hauptverfasser:	Zhang, ShiChuan, Kong, XiangCong, Zhou, YueYing, Chen, LingYao, Zheng, XiaoYing, Chun-Ling, Xu, Bao-Qiang Lao, An, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Astronomy Machine learning Physics - Instrumentation and Methods for Astrophysics Pulsars Recognition Sampling Training
Online-Zugang:	Volltext
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