FIRST radio galaxy data set containing curated labels of classes FRI, FRII, compact and bent

Florian Griese; Janis Kummer; Patrick L S Connor; Marcus Brüggen; Lennart Rustige

doi:10.1016/j.dib.2023.108974

FIRST radio galaxy data set containing curated labels of classes FRI, FRII, compact and bent

Data Brief. 2023 Feb 11:47:108974. doi: 10.1016/j.dib.2023.108974. eCollection 2023 Apr.

Authors

Florian Griese^{1

2

3}, Janis Kummer^{1

4}, Patrick L S Connor^{1

5}, Marcus Brüggen^{1

4}, Lennart Rustige^{1

6}

Affiliations

¹ Center for Data and Computing in Natural Sciences (CDCS), Notkestrasse 9-11, D-22607 Hamburg, Germany.
² Institute for Biomedical Imaging, Hamburg University of Technology, D-21073 Hamburg, Germany.
³ Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany.
⁴ Universität Hamburg, Hamburger Sternwarte, Gojenbergsweg 112, D-21029 Hamburg, Germany.
⁵ Institut für Experimentalphysik, University of Hamburg, Luruper Chaussee 149, D-22761 Germany.
⁶ Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, Hamburg D-22607, Germany.

Abstract

Automated classification of astronomical sources is often challenging due to the scarcity of labelled training data. We present a data set with a total number of 2158 data items that contains radio galaxy images with their corresponding morphological labels taken from various catalogues [1,2]. The data set is curated by removing duplicates, ambiguous morphological labels and by different meta data formats. The image data was acquired by the VLA FIRST (Faint Images of the Radio Sky at Twenty-Centimeters) survey [3]. The morphological labels are collected and the catalogue specific classification definition is converted into a 4-class classification scheme: FRI, FRII, Compact and Bent sources. FRI and FRII correspond to the two classes of the widely used Faranoff-Riley classification [4]. We consider two more classes: compact sources and bent-tail galaxies. For duplicates with different morphological labels, the galaxy is regarded as ambiguously labeled and both coordinates are removed. For the remaining list of coordinates, the radio galaxy images are collected from the virtual observatory skyview (https://skyview.gsfc.nasa.gov/current/cgi/query.pl). The gray value images are provided in the size of 300 × 300 pixel and all pixels with a value below three times the local RMS of the noise are set to this threshold value. The data set is useful for the development of robust machine learning models that automate the classification of radio galaxy images.

Keywords: Bent; Compact; FIRST survey; FRI; FRII; Fanaroff-Riley; Radio Galaxy.