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
中科院分区:
文献类型:
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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
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