Fifty years of pulsar candidate selection : from simple filters to a new principled real-time classification approach
- Submitting institution
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The University of Birmingham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 91848302
- Type
- D - Journal article
- DOI
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10.1093/mnras/stw656
- Title of journal
- Royal Astronomical Society. Monthly Notices
- Article number
- -
- First page
- 1104
- Volume
- 459
- Issue
- 1
- ISSN
- 0035-8711
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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4
- Research group(s)
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-
- Citation count
- 59
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes and tests a novel classifier for the vast data streams coming from astronomical sky searches. The new method is informed by an analysis of existing computational methods which provides evidence for the most effective statistical features of true pulsars. The paper received wide recognition. The first author (computer science PhD student) now works for the Jodrell Bank Centre for Astrophysics where he applied the new real-time algorithm to examine LOFAR pulsar survey data, discovering multiple radio pulsars. The work also influenced the design of the SKA radio telescope's pulsar search system.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -