Professor OMAR ALMAINI's Outputs (2)

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.

X-UDS: The Chandra legacy survey of the UKIDSS Ultra Deep Survey field (2018)
Journal Article
Kocevski, D. D., Hasinger, G., Brightman, M., Nandra, K., Georgakakis, A., Cappelluti, N., Civano, F., Li, Y., Li, Y., Aird, J., Alexander, D. M., Almaini, O., Brusa, M., Buchner, J., Comastri, A., Conselice, C. J., Dickinson, M. A., Finoguenov, A., Gilli, R., Koekemoer, A. M., …Ueda, Y. (2018). X-UDS: The Chandra legacy survey of the UKIDSS Ultra Deep Survey field. Astrophysical Journal Supplement, 236(2), Article 48. https://doi.org/10.3847/1538-4365/aab9b4

We present the X-UDS survey, a set of wide and deep Chandra observations of the Subaru-XMM Deep/UKIDSS Ultra Deep Survey (SXDS/UDS) field. The survey consists of 25 observations that cover a total area of 0.33 deg2. The observations are combined to p... Read More about X-UDS: The Chandra legacy survey of the UKIDSS Ultra Deep Survey field.