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  PEACE: Pulsar Evaluation Algorithm for Candidate Extraction - A software package for post-analysis processing of pulsar survey candidates

Lee, K. J., Stovall, K., Jenet, F. A., Martinez, J., Dartez, L. P., Mata, A., et al. (2013). PEACE: Pulsar Evaluation Algorithm for Candidate Extraction - A software package for post-analysis processing of pulsar survey candidates. Monthly Notices of the Royal Astronomical Society, 433, 688-694. doi:10.1093/mnras/stt758.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-9D11-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-A98B-5
Genre: Journal Article

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 Creators:
Lee, K. J., Author
Stovall, K., Author
Jenet, F. A., Author
Martinez, J., Author
Dartez, L. P., Author
Mata, A., Author
Lunsford, G., Author
Cohen, S., Author
Biwer, C. . M., Author
Rohr, M., Author
Flanigan, J., Author
Walker, A., Author
Banaszak, S., Author
Allen, B.1, Author              
Barr, E. D., Author
Bhat, N. D. R., Author
Bogdanov, S., Author
Brazier, A., Author
Camilo, F., Author
Champion, D. J., Author
Chatterjee, S., AuthorCordes, J., AuthorCrawford, F., AuthorDeneva, J., AuthorDesvignes, G., AuthorFerdman, R. D., AuthorFreire, P., AuthorHessels, J. W. T., AuthorKaruppusamy, R., AuthorKaspi, V. M., AuthorKnispel, B.1, Author              Kramer, M., AuthorLazarus, P., AuthorLynch, R., AuthorLyne, A., AuthorMcLaughlin, M., AuthorRansom, S., AuthorScholz, P., AuthorSiemens, X., AuthorSpitler, L., AuthorStairs, I., AuthorTan, M., Authorvan Leeuwen, J., AuthorZhu, W. W., Author more..
Affiliations:
1Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              

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Free keywords: Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM, Astrophysics, Galaxy Astrophysics, astro-ph.GA
 Abstract: Modern radio pulsar surveys produce a large volume of prospective candidates, the majority of which are polluted by human-created radio frequency interference or other forms of noise. Typically, large numbers of candidates need to be visually inspected in order to determine if they are real pulsars. This process can be labor intensive. In this paper, we introduce an algorithm called PEACE (Pulsar Evaluation Algorithm for Candidate Extraction) which improves the efficiency of identifying pulsar signals. The algorithm ranks the candidates based on a score function. Unlike popular machine-learning based algorithms, no prior training data sets are required. This algorithm has been applied to data from several large-scale radio pulsar surveys. Using the human-based ranking results generated by students in the Arecibo Remote Command enter programme, the statistical performance of PEACE was evaluated. It was found that PEACE ranked 68% of the student-identified pulsars within the top 0.17% of sorted candidates, 95% within the top 0.34%, and 100% within the top 3.7%. This clearly demonstrates that PEACE significantly increases the pulsar identification rate by a factor of about 50 to 1000. To date, PEACE has been directly responsible for the discovery of 47 new pulsars, 5 of which are millisecond pulsars that may be useful for pulsar timing based gravitational-wave detection projects.

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 Dates: 2013-05-022013
 Publication Status: Published in print
 Pages: 7 pages, 4 figures, accepted by MNRAS
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1305.0447
DOI: 10.1093/mnras/stt758
 Degree: -

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Title: Monthly Notices of the Royal Astronomical Society
Source Genre: Journal
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Publ. Info: Oxford : Blackwell Science
Pages: - Volume / Issue: 433 Sequence Number: - Start / End Page: 688 - 694 Identifier: ISSN: 1365-8711
CoNE: /journals/resource/1000000000024150