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Radio galaxy zoo EMU: Towards a semantic radio galaxy morphology taxonomy

  • Micah Bowles*
  • , Hongming Tang
  • , Eleni Vardoulaki
  • , Emma L. Alexander
  • , Yan Luo
  • , Lawrence Rudnick
  • , Mike Walmsley
  • , Fiona Porter
  • , Anna M.M. Scaife
  • , Inigo Val Slijepcevic
  • , Elizabeth A.K. Adams
  • , Alexander Drabent
  • , Thomas Dugdale
  • , Gülay Gürkan
  • , Andrew M. Hopkins
  • , Eric F. Jimenez-Andrade
  • , Denis A. Leahy
  • , Ray P. Norris
  • , Syed Faisal ur Rahman
  • , Xichang Ouyang
  • Gary Segal, Stanislav S. Shabala, O. Ivy Wong
*Corresponding author for this work
  • University of Manchester
  • Tsinghua University
  • Karl Schwarzschild Observatory
  • Sun Yat-Sen University
  • University of Minnesota Twin Cities
  • Alan Turing Institute
  • Netherlands Institute for Radio Astronomy
  • University of Groningen
  • CSIRO
  • University of Hertfordshire
  • Macquarie University
  • Universidad Nacional Autónoma de México
  • University of Calgary
  • Western Sydney University
  • University of Karachi
  • University of Queensland
  • University of Tasmania
  • University of Western Australia
  • ARC Centre of Excellence for All-sky Astrophysics

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We address the limitations of common radio galaxy morphology classifications by applying this approach. We experimentally derive a set of semantic tags for the Radio Galaxy Zoo EMU (Evolutionary Map of the Universe) project and the wider astronomical community. We collect 8486 plain English annotations of radio galaxy morphology, from which we derive a taxonomy of tags. The tags are plain English. The result is an extensible framework, which is more flexible, more easily communicated, and more sensitive to rare feature combinations, which are indescribable using the current framework of radio astronomy classifications.

Original languageEnglish
Pages (from-to)2584-2600
Number of pages17
JournalMonthly Notices of the Royal Astronomical Society
Volume522
Issue number2
DOIs
Publication statusPublished - 1 Jun 2023
Externally publishedYes

Keywords

  • galaxies
  • standards-methods
  • statistical-catalogues-galaxies
  • statistics-radio continuum

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