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A Machine learning Method for Identifying Multiwavelength Counterparts of Submillimeter Galaxies:Training and Testing Using AS2UDS and ALESS

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Academic year: 2020

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Figure

Figure 1. A map showing the distribution of our ALMAsurvey compared to the coverage of the K-band, Spitzer,and VLA observations of the UDS field and overlaid on theSCUBA-2 map
Figure 2. The radio flux densities for all radio sources within the primary beams of the AS2UDS ALMA maps as a function
Figure 3. The number of multi-wavelength counterparts to(ALMA-detected SMGs within the overlap regions of UKIDSSand IRAC coverage in the UDS field
Figure 4. Histograms of different observed properties of SMGs versus non-SMG field galaxies.shows that we cannot simply use the spatial offset from the single-dish source position to classify SMG and non-SMG becauseand ultraviolet color distributions for the
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