MIGHTEE: multi-wavelength counterparts in the COSMOS field
Autor: | Whittam, I. H., Prescott, M., Hale, C. L., Jarvis, M . J., Heywood, I., An, Fangxia, Glowacki, M., Maddox, N., Marchetti, L., Morabito, L. K., Adams, N. J., Bowler, R. A. A., Hatfield, P. W., Varadaraj, R. G., Collier, J., Frank, B., Taylor, A. R., Santos, M. G., Vaccari, M., Afonso, J., Ao, Y., Delhaize, J., Knowles, K., Kolwa, S., Randriamampandry, S. M., Randriamanakoto, Z., Smirnov, O., Smith, D. J. B., White, S. V. |
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Rok vydání: | 2023 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | In this paper we combine the Early Science radio continuum data from the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey, with optical and near-infrared data and release the cross-matched catalogues. The radio data used in this work covers $0.86$ deg$^2$ of the COSMOS field, reaches a thermal noise of $1.7$ $\mu$Jy/beam and contains $6102$ radio components. We visually inspect and cross-match the radio sample with optical and near-infrared data from the Hyper Suprime-Cam (HSC) and UltraVISTA surveys. This allows the properties of active galactic nuclei and star-forming populations of galaxies to be probed out to $z \approx 5$. Additionally, we use the likelihood ratio method to automatically cross-match the radio and optical catalogues and compare this to the visually cross-matched catalogue. We find that 94 per cent of our radio source catalogue can be matched with this method, with a reliability of $95$ per cent. We proceed to show that visual classification will still remain an essential process for the cross-matching of complex and extended radio sources. In the near future, the MIGHTEE survey will be expanded in area to cover a total of $\sim$20~deg$^2$; thus the combination of automated and visual identification will be critical. We compare redshift distribution of SFG and AGN to the SKADS and T-RECS simulations and find more AGN than predicted at $z \sim 1$. Comment: 15 pages, 15 figures. Accepted for publication in MNRAS |
Databáze: | arXiv |
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