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脉冲星候选样本分类方法综述

王元超,郑建华,潘之辰,李明涛

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文章导航> 深空探测学报(中英文）> 2018> 5(3): 203-211,218
王元超, 郑建华, 潘之辰, 李明涛. 脉冲星候选样本分类方法综述[J]. 深空探测学报(中英文）, 2018, 5(3): 203-211,218. doi: 10.15982/j.issn.2095-7777.2018.3.001
引用本文: 王元超, 郑建华, 潘之辰, 李明涛. 脉冲星候选样本分类方法综述[J]. 深空探测学报(中英文）, 2018, 5(3): 203-211,218.doi:10.15982/j.issn.2095-7777.2018.3.001
shu
WANG Yuanchao, ZHENG Jianhua, PAN Zhichen, LI Mingtao. An Overview of Pulsar Candidate Classification Methods[J]. Journal of Deep Space Exploration, 2018, 5(3): 203-211,218. doi: 10.15982/j.issn.2095-7777.2018.3.001
Citation: WANG Yuanchao, ZHENG Jianhua, PAN Zhichen, LI Mingtao. An Overview of Pulsar Candidate Classification Methods[J].Journal of Deep Space Exploration, 2018, 5(3): 203-211,218.doi:10.15982/j.issn.2095-7777.2018.3.001
shu

脉冲星候选样本分类方法综述

doi:10.15982/j.issn.2095-7777.2018.3.001
  • 1.

    中国科学院 国家空间科学中心, 北京 100190;中国科学院大学, 北京 100049

  • 2.

    中国科学院 国家天文台, 北京 100012;中国科学院 天文大数据中心, 北京 100012;中国科学院FAST重点实验室, 北京 100012

基金项目:中国科学院青年创新促进会优秀会员资助项目

An Overview of Pulsar Candidate Classification Methods

  • 1.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190;University of Chinese Academy of Sciences, Beijing 100049

  • 2.

    National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012;Center for Astronomical Mega-Science, Chinese Academy of Sciences, Beijing 100012;CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing 100012

  • 摘要:脉冲星搜索是射电天文学中的重要前沿领域。随着现代搜索设备性能的不断提升，可以接收到更弱的信号，如何从海量信号中准确地识别出脉冲星疑似信号成为一个挑战。介绍了国内外关于脉冲星候选样本分类方法的发展历史和发展状态，归纳总结了发展过程中各个阶段的处理方法：人工识别方法和机器学习方法；最后对未来的发展趋势进行了分析。
    Abstract:Pulsar searching is an important frontier in radio astronomy. Weaker signals can be received as the performance of search facilities continualy improved. However,how to accurately identify the suspected pulsar signal from massive candidates has become a challenge. The pulsar candidate classification methods about development history and current situation at home and abroad. The classification methods in each stage include:manual selection methods and machine learning methods. At last,the future development trends are analyzed.
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出版历程
  • 收稿日期:2018-04-15
  • 修回日期:2018-06-05
  • 刊出日期:2018-06-01

脉冲星候选样本分类方法综述

doi:10.15982/j.issn.2095-7777.2018.3.001
  • 1. 中国科学院 国家空间科学中心, 北京 100190;中国科学院大学, 北京 100049
  • 2. 中国科学院 国家天文台, 北京 100012;中国科学院 天文大数据中心, 北京 100012;中国科学院FAST重点实验室, 北京 100012
    • 基金项目:中国科学院青年创新促进会优秀会员资助项目
  • 收稿日期:2018-04-15
  • 修回日期:2018-06-05
  • 刊出日期:2018-06-01

摘要:脉冲星搜索是射电天文学中的重要前沿领域。随着现代搜索设备性能的不断提升，可以接收到更弱的信号，如何从海量信号中准确地识别出脉冲星疑似信号成为一个挑战。介绍了国内外关于脉冲星候选样本分类方法的发展历史和发展状态，归纳总结了发展过程中各个阶段的处理方法：人工识别方法和机器学习方法；最后对未来的发展趋势进行了分析。

English Abstract

王元超, 郑建华, 潘之辰, 李明涛. 脉冲星候选样本分类方法综述[J]. 深空探测学报(中英文）, 2018, 5(3): 203-211,218. doi: 10.15982/j.issn.2095-7777.2018.3.001
引用本文: 王元超, 郑建华, 潘之辰, 李明涛. 脉冲星候选样本分类方法综述[J]. 深空探测学报(中英文）, 2018, 5(3): 203-211,218.doi:10.15982/j.issn.2095-7777.2018.3.001
shu
WANG Yuanchao, ZHENG Jianhua, PAN Zhichen, LI Mingtao. An Overview of Pulsar Candidate Classification Methods[J]. Journal of Deep Space Exploration, 2018, 5(3): 203-211,218. doi: 10.15982/j.issn.2095-7777.2018.3.001
Citation: WANG Yuanchao, ZHENG Jianhua, PAN Zhichen, LI Mingtao. An Overview of Pulsar Candidate Classification Methods[J].Journal of Deep Space Exploration, 2018, 5(3): 203-211,218.doi:10.15982/j.issn.2095-7777.2018.3.001
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