Herschel-ATLAS : VISTA VIKING near-infrared counterparts in the Phase 1 GAMA 9-h data

Fleuren, S., Sutherland, W., Dunne, L., Smith, Daniel, Maddox, S. J., Gonzalez-Nuevo, J., Findlay, J., Auld, R., Baes, M., Bond, N. A., Bonfield, D. G., Bourne, N., Cooray, A., Buttiglione, S., Cava, A., Dariush, A., De Zotti, G., Driver, S. P., Dye, S., Eales, S., Fritz, J., Gunawardhana, M. L. P., Hopwood, R., Ibar, E., Ivison, R. J., Jarvis, M.J., Kelvin, L., Lapi, A., Liske, J., Michalowski, M. J., Negrello, M., Pascale, E., Pohlen, M., Prescott, M., Rigby, E. E., Robotham, A., Scott, D., Temi, P., Thompson, Mark, Valiante, E. and van der Werf, P. (2012) Herschel-ATLAS : VISTA VIKING near-infrared counterparts in the Phase 1 GAMA 9-h data. pp. 2407-2424. ISSN 0035-8711
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We identify near-infrared Ks-band counterparts to Herschel Astrophysical Terahertz Large Area Survey (H-ATLAS) submillimetre (submm) sources, using a preliminary object catalogue from the VISTA Kilo-degree Infrared Galaxy (VIKING) survey. The submm sources are selected from the H-ATLAS Phase 1 catalogue of the Galaxy and Mass Assembly 9-h field, which includes all objects detected at 250, 350 or with the instrument. We apply and discuss a likelihood ratio method for VIKING candidates within a search radius of 10 arcsec of the 22 000 SPIRE sources with a 5s detection at . We estimate the fraction of SPIRE sources with a counterpart above the magnitude limit of the VIKING survey to be Q0 similar to 0.73. We find that 11 294 (51 per cent) of the SPIRE sources have a best VIKING counterpart with a reliability R= 0.8, and the false identification rate of these is estimated to be 4.2 per cent. We expect to miss 5 per cent of true VIKING counterparts. There is evidence from Z-J and J-Ks colours that the reliable counterparts to SPIRE galaxies are marginally redder than the field population. We obtain photometric redshifts for 68 per cent of all (non-stellar) VIKING candidates with a median redshift of . We have spectroscopic redshifts for 3147 (28 per cent) of the reliable counterparts from existing redshift surveys. Comparing to the results of the optical identifications supplied with the Phase 1 catalogue, we find that the use of medium-deep near-infrared data improves the identification rate of reliable counterparts from 36 to 51 per cent.