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Continuum Source Identification and Measurement

  • Andrew M. Hopkins,
  • Yjan Gordon,
  • Martin J. Hardcastle,
  • Daizhong Liu,
  • David A. Rafferty,
  • Michelle M. Boyce,
  • Hongming Tang,
  • Joshua Marvil,
  • Wendy Williams,
  • Biny Sebastian,
  • Christopher O’Dea,
  • Jack Radcliffe,
  • Lawrence Rudnick,
  • Mattia Vaccari

摘要

This chapter presents the range of approaches, considerations, and issues involved in understanding the properties of sources in radio continuum datasets. It summarises traditional and more recent approaches for identifying and measuring sources, both blindly and in conjunction with complementary data, and explores the challenges arising from how to reliably handle complex, extended, and multicomponent objects. It distinguishes between the detection and the classification of sources, and discusses scenarios where these steps overlap. It then describes the construction of value-added catalogues or datasets linking the radio source properties with other photometric and spectroscopic measurements, and informing further classification of the radio sources. It concludes with an overview of approaches being actively used in major projects with current generation leading radio telescope facilities.