A machine-learning method for identifying multi-wavelength counterparts of submillimeter galaxies: training and testing using AS2UDS and ALESS

FangXia An, S. M. Stach, Ian Smail, A. M. Swinbank, O. Almaini, W. Hartley, D. T. Maltby, R. J. Ivison, V. Arumugam, J. L. Wardlow, E. A. Cooke, B. Gullberg, Chian-Chou Chen, J. E. Geach, D. Scott, J. S. Dunlop, D. Farrah, P. van der Werf, A. W. Blain, C. ConseliceM. J. Michałowski, S. C. Chapman, K. E. K. Coppin

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)
22 Downloads (Pure)

Fingerprint

Dive into the research topics of 'A machine-learning method for identifying multi-wavelength counterparts of submillimeter galaxies: training and testing using AS2UDS and ALESS'. Together they form a unique fingerprint.

Physics & Astronomy

Earth & Environmental Sciences