Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

Mostert, R.I.J.; Duncan, K.J.; Alegre, L.; Röttgering, H.J.A.; Williams, W.L.; Best, P.N.; Hardcastle, M.J.; Morganti, R.

doi:10.1051/0004-6361/202243478

Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

Author(s):: Mostert, R.I.J. (0000-0001-8207-7789); Duncan, K.J. (0000-0001-6889-8388); Alegre, L.; Röttgering, H.J.A.; Williams, W.L. (0000-0001-7315-1596); Best, P.N.; Hardcastle, M.J.; Morganti, R.

Published: 2022
Publication type: Article / Letter to editor

Methods: data analysisCatalogsSurveysGalaxies: activeAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - Astrophysics of Galaxies

Date issued: 2022
Language: English
Is part of: Astronomy & Astrophysics (2022), A28
hdl: 1887/3514807
doi: 10.1051/0004-6361/202243478
URL: https://ui.adsabs.harvard.edu/abs/2022A&A...668A..28M

Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

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