The High Time Resolution Universe Pulsar Survey - VI. An artificial neural network and timing of 75 pulsars

The High Time Resolution Universe Pulsar Survey - VI. An artificial neural network and timing of 75 pulsars
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DOI:
10.1111/j.1365-2966.2012.22042.x
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发表时间:
2012-09
影响因子:
4.8
通讯作者:
S. Bates;S. Bates;M. Bailes;B. Barsdell;N. Bhat;M. Burgay;S. Burke-Spolaor;D. Champion;P. Coster;N. D'amico;A. Jameson;S. Johnston;M. Keith;M. Kramer;L. Levin;L. Levin;A. Lyne;S. Milia;S. Milia;C. Ng;C. Nietner;A. Possenti;B. Stappers;D. Thornton;W. Straten
S. Bates;S. Bates;M. Bailes;B. Barsdell;N. Bhat;M. Burgay;S. Burke-Spolaor;D. Champion;P. Coster;N. D'amico;A. Jameson;S. Johnston;M. Keith;M. Kramer;L. Levin;L. Levin;A. Lyne;S. Milia;S. Milia;C. Ng;C. Nietner;A. Possenti;B. Stappers;D. Thornton;W. Straten
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
S. Bates;S. Bates;M. Bailes;B. Barsdell;N. Bhat;M. Burgay;S. Burke-Spolaor;D. Champion;P. Coster;N. D'amico;A. Jameson;S. Johnston;M. Keith;M. Kramer;L. Levin;L. Levin;A. Lyne;S. Milia;S. Milia;C. Ng;C. Nietner;A. Possenti;B. Stappers;D. Thornton;W. Straten

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我们目前在高时间分辨率宇宙巡天的中纬度部分发现了75颗恒星,其中54颗具有完整的时间解决方案。所有的双星都有大于100毫秒的自旋周期,并且没有一个有定时解决方案的双星。其中两颗显示出特别有趣的行为:PSR J1054{5944}被发现是一颗间歇性脉冲星,而PSR J1809{0119}自发现以来已经发生了两次故障。在论文的后半部分,我们讨论了人工神经网络在调查数据处理管道中的开发和应用。我们讨论了用于生成分数的测试,发现我们的神经网络能够拒绝数据处理中产生的99%以上的候选人,并能够盲检测85%的候选人。我们建议,如果在训练人工神经元时进一步注意,
We present 75 pulsars discovered in the mid-latitude portion of the High Time Resolution Universe survey, 54 of which have full timing solutions. All the pulsars have spin periods greater than 100 ms, and none of those with timing solutions are in binaries. Two display particularly interesting behaviour; PSR J1054{5944 is found to be an intermittent pulsar, and PSR J1809{0119 has glitched twice since its discovery. In the second half of the paper we discuss the development and application of an articial neural network in the data-processing pipeline for the survey. We discuss the tests that were used to generate scores and nd that our neural network was able to reject over 99% of the candidates produced in the data processing, and able to blindly detect 85% of pulsars. We suggest that improvements to the accuracy should be possible if further care is taken when training an articial