A Processing Pipeline for High Volume Pulsar Candidate Data StreamsCitation formats

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A Processing Pipeline for High Volume Pulsar Candidate Data Streams. / Lyon, Robert; Stappers, Benjamin; Levin, Lina; Mickaliger, Mitchell; Scaife, Anna.

In: Astronomy and Computing, 01.07.2019.

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@article{563681be80984e12af073bc93aa11015,
title = "A Processing Pipeline for High Volume Pulsar Candidate Data Streams",
abstract = "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 they output candidates in such large volumes that they 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 for the modern era, the key components of a pulsar search candidate processing pipeline, ii) it examines the feasibility of implementing on-line candidate ltering via existing tools, iii) problems preventing an easy transition to on-line ltering are identied and explained, and nally iv) it presents a new prototype ltering pipeline capable of overcoming such problems. Realised using Commercial o-the-shelf (COTS) software components, the deployable system is open source, simple, scalable, and cheap to produce. It has the potential to achieve candidate ltering design requirements for the Square Kilometre Array (SKA), illustrated via testing under simulated SKA loads.",
keywords = "pulsars: general, methods: data analysis, methods: statistical, techniques: miscellaneous",
author = "Robert Lyon and Benjamin Stappers and Lina Levin and Mitchell Mickaliger and Anna Scaife",
year = "2019",
month = jul,
day = "1",
doi = "10.1016/j.ascom.2019.100291",
language = "English",
journal = "Astronomy and Computing",
issn = "2213-1337",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - A Processing Pipeline for High Volume Pulsar Candidate Data Streams

AU - Lyon, Robert

AU - Stappers, Benjamin

AU - Levin, Lina

AU - Mickaliger, Mitchell

AU - Scaife, Anna

PY - 2019/7/1

Y1 - 2019/7/1

N2 - 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 they output candidates in such large volumes that they 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 for the modern era, the key components of a pulsar search candidate processing pipeline, ii) it examines the feasibility of implementing on-line candidate ltering via existing tools, iii) problems preventing an easy transition to on-line ltering are identied and explained, and nally iv) it presents a new prototype ltering pipeline capable of overcoming such problems. Realised using Commercial o-the-shelf (COTS) software components, the deployable system is open source, simple, scalable, and cheap to produce. It has the potential to achieve candidate ltering design requirements for the Square Kilometre Array (SKA), illustrated via testing under simulated SKA loads.

AB - 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 they output candidates in such large volumes that they 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 for the modern era, the key components of a pulsar search candidate processing pipeline, ii) it examines the feasibility of implementing on-line candidate ltering via existing tools, iii) problems preventing an easy transition to on-line ltering are identied and explained, and nally iv) it presents a new prototype ltering pipeline capable of overcoming such problems. Realised using Commercial o-the-shelf (COTS) software components, the deployable system is open source, simple, scalable, and cheap to produce. It has the potential to achieve candidate ltering design requirements for the Square Kilometre Array (SKA), illustrated via testing under simulated SKA loads.

KW - pulsars: general

KW - methods: data analysis

KW - methods: statistical

KW - techniques: miscellaneous

U2 - 10.1016/j.ascom.2019.100291

DO - 10.1016/j.ascom.2019.100291

M3 - Article

JO - Astronomy and Computing

JF - Astronomy and Computing

SN - 2213-1337

ER -