4.7 Article

The High Time Resolution Universe survey - XIV. Discovery of 23 pulsars through GPU-accelerated reprocessing

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 483, Issue 3, Pages 3673-3685

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/sty3328

Keywords

methods: data analysis; pulsars: general

Funding

  1. European Research Council (ERC) under the European Union [694745]
  2. Commonwealth of Australia
  3. Australian Research Council Centre for Excellence for All-sky Astrophysics (CAASTRO) [CE110001020]
  4. Astronomy Australia Limited (AAL)
  5. STFC [ST/P000649/1] Funding Source: UKRI

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We have performed a new search for radio pulsars in archival data of the intermediate and high Galactic latitude parts of the Southern High Time Resolution Universe pulsar survey. This is the first time the entire dataset has been searched for binary pulsars, an achievement enabled by GPU-accelerated dedispersion and periodicity search codes nearly 50 times faster than the previously used pipeline. Candidate selection was handled entirely by a Machine Learning algorithm, allowing for the assessment of 17.6 million candidates in a few person-days. We have also introduced an outlier detection algorithm for efficient radio-frequency interference (RFI) mitigation on folded data, a new approach that enabled the discovery of pulsars previously masked by RFI. We discuss implications for future searches, particularly the importance of expanding work on RFI mitigation to improve survey completeness. In total, we discovered 23 previously unknown sources, including 6 millisecond pulsars and at least 4 pulsars in binary systems. We also found an elusive but credible redback candidate that we have yet to confirm.

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