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

Bates, S. D. and Bailes, M. and Barsdell, B. R. and Bhat, N. D. R. and Burgay, M. and Burke-Spolaor, S. and Champion, D. J. and Coster, P. and D'Amico, N. and Jameson, A. and Johnston, S. and Keith, M. J. and Kramer, M. and Levin, L. and Lyne, A. and Milia, S. and Ng, C. and Nietner, C. and Possenti, A. and Stappers, B. and Thornton, D. and van Straten, W. (2012) The High Time Resolution Universe Pulsar Survey — VI. An artificial neural network and timing of 75 pulsars. Monthly Notices of the Royal Astronomical Society, 427 (2). pp. 1052-1065. ISSN 0035-8711. http://resolver.caltech.edu/CaltechAUTHORS:20130214-090241085

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Abstract

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 is 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 artificial neural network in the data-processing pipeline for the survey. We discuss the tests that were used to generate scores and find that our neural network was able to reject over 99 per cent of the candidates produced in the data processing, and able to blindly detect 85 per cent of pulsars. We suggest that improvements to the accuracy should be possible if further care is taken when training an artificial neural network; for example, ensuring that a representative sample of the pulsar population is used during the training process, or the use of different artificial neural networks for the detection of different types of pulsars.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1111/j.1365-2966.2012.22042.xDOIArticle
https://arxiv.org/abs/1209.0793arXivDiscussion Paper
Additional Information:© 2012 The Authors. Monthly Notices of the Royal Astronomical Society © 2012 RAS. Accepted 2012 September 3. Received 2012 August 3; in original form 2012 May 17. Published: 01 December 2012. The authors thank Cristobal Espinoza for his helpful comments and expertise on pulsar glitches. The Parkes Observatory is part of the Australia Telescope which is funded by the Commonwealth of Australia for operation as a National Facility managed by CSIRO. We thank the anonymous referee for their helpful comment.
Group:TAPIR
Funders:
Funding AgencyGrant Number
Commonwealth of AustraliaUNSPECIFIED
Subject Keywords:methods: data analysis – stars: neutron – pulsars: general
Record Number:CaltechAUTHORS:20130214-090241085
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20130214-090241085
Official Citation:S D Bates, M Bailes, B R Barsdell, N D R Bhat, M Burgay, S Burke-Spolaor, D J Champion, P Coster, N D'Amico, A Jameson, S Johnston, M J Keith, M Kramer, L Levin, A Lyne, S Milia, C Ng, C Nietner, A Possenti, B Stappers, D Thornton, W van Straten; The High Time Resolution Universe Pulsar Survey — VI. An artificial neural network and timing of 75 pulsars, Monthly Notices of the Royal Astronomical Society, Volume 427, Issue 2, 1 December 2012, Pages 1052–1065, https://doi.org/10.1111/j.1365-2966.2012.22042.x
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:36914
Collection:CaltechAUTHORS
Deposited By: JoAnn Boyd
Deposited On:05 Mar 2013 18:43
Last Modified:11 Dec 2018 17:32

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