Data-Efficient Classification of Radio Galaxies

The continuum emission from radio galaxies can be generally classified into different morphological classes such as FRI, FRII, Bent, or Compact. In this paper, we explore the task of radio galaxy classification based on morphology using deep learning methods with a focus on using a small scale datas...

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Veröffentlicht in:	arXiv.org 2021-11
Hauptverfasser:	Samudre, Ashwin, Lijo George, Bansal, Mahak, Wadadekar, Yogesh
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Computer Science - Learning Continuum radiation Datasets Machine learning Model accuracy Morphology Neural networks Physics - Instrumentation and Methods for Astrophysics Radio astronomy Radio galaxies Radio telescopes
Online-Zugang:	Volltext
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