A Machine-learning Method for Identifying Multiwavelength Counterparts of Submillimeter Galaxies: Training and Testing Using AS2UDS and ALESS
(2018)
Journal Article
An, F. X., Stach, S., Smail, I., Swinbank, A., Almaini, O., Simpson, C., Hartley, W., Maltby, D., Ivison, R., Arumugam, V., Wardlow, J., Cooke, E., Gullberg, B., Thomson, A., Chen, C.-C., Simpson, J., Geach, J., Scott, D., Dunlop, J., Farrah, D., …Coppin, K. (2018). A Machine-learning Method for Identifying Multiwavelength Counterparts of Submillimeter Galaxies: Training and Testing Using AS2UDS and ALESS. Astrophysical Journal, 862(2), Article 101. https://doi.org/10.3847/1538-4357/aacdaa
We describe the application of supervised machine-learning algorithms to identify the likely multiwavelength counterparts to submillimeter sources detected in panoramic, single-dish submillimeter surveys. As a training set, we employ a sample of 695... Read More about A Machine-learning Method for Identifying Multiwavelength Counterparts of Submillimeter Galaxies: Training and Testing Using AS2UDS and ALESS.