A processing pipeline for high volume pulsar candidate data streams

ROBERT LYON, Benjamin Stappers, Lina Levin, Mitchell Mickaliger, Anna Scaife

Research output: Contribution to journalArticle (journal)peer-review

1 Citation (Scopus)
116 Downloads (Pure)


Pulsar candidate analysis pipelines have historically been comprised of bespoke software systems, supporting the off-line study of data. However modern data acquisition systems are making off-line analyses impractical, as increasing candidate volumes become prohibitively expensive to retain. To maintain processing capabilities when off-line analysis becomes infeasible due to cost, requires a shift to on-line data processing. This paper makes four contributions facilitating this shift relevant to the search for radio pulsars: (i) it characterises the key components of a pulsar search candidate processing pipeline, (ii) it examines the feasibility of implementing on-line candidate filtering via existing tools, (iii) explores the problems preventing an easy transition to on-line filtering, and finally (iv) presents a new prototype filtering pipeline capable of overcoming such problems. Realised using Commercial off-the-shelf (COTS) software components, the deployable system is open source, simple, scalable, and cheap to produce. It has the potential to achieve candidate filtering design requirements for the Square Kilometre Array (SKA), illustrated via testing under simulated SKA loads.
Original languageEnglish
Article number100291
JournalAstronomy and Computing
Early online date12 Jun 2019
Publication statusPublished - 1 Jul 2019


  • Pulsars: general
  • Methods: data analysis
  • Methods: statistical
  • Techniques: miscellaneous


Dive into the research topics of 'A processing pipeline for high volume pulsar candidate data streams'. Together they form a unique fingerprint.

Cite this