CANDELS multi-wavelength catalogs: source identification and photometry in the CANDELS COSMOS survey field

Nayyeri, H., Hemmati, S., Mobasher, B., Ferguson, H.C., Cooray, A., Barro, G., Faber, S.M., Dickinson, M., Koekemoer, A.M., Peth, M., Ashby, M.L.N., Salvato, M., Darvish, B., Donley, J., Durbin, M., Finkelstein, S., Fontana, A., Grogin, N.A., Gruetzbauch, R., Huang, K., Khostovan, A.A., Kocevski, D., Kodra, D., Lee, B., Newman, J., Pacifici, C., Pforr, J., Stefanon, M., Wiklind, T., Willner, S.P., Wuyts, S., Castellano, M., Conselice, Christopher J., Dolch, T., Dunlop, J.S., Galametz, A., Hathi, N.P., Lucas, R.A. and Yan, H. (2017) CANDELS multi-wavelength catalogs: source identification and photometry in the CANDELS COSMOS survey field. Astrophysical Journal Supplement Series, 228 (1). p. 7. ISSN 1538-4365

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We present a multi-wavelength photometric catalog in the COSMOS field as part of the observations by the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey. The catalog is based on Hubble Space Telescope Wide Field Camera 3 (HST/WFC3) and Advanced Camera for Surveys observations of the COSMOS field (centered at R.A.: 10h00m28s, Decl.:+02h12m21s). The final catalog has 38671 sources with photometric data in 42 bands from UV to the infrared (~0.3-8 μm). This includes broadband photometry from HST, CFHT, Subaru, the Visible and Infrared Survey Telescope for Astronomy, and Spitzer Space Telescope in the visible, near-infrared, and infrared bands along with intermediate- and narrowband photometry from Subaru and medium-band data from Mayall NEWFIRM. Source detection was conducted in the WFC3 F160W band (at 1.6 μm) and photometry is generated using the Template FITting algorithm. We further present a catalog of the physical properties of sources as identified in the HST F160W band and measured from the multi-band photometry by fitting the observed spectral energy distributions of sources against templates.

Item Type: Article
Keywords: catalogs; galaxies: high-redshift; galaxies: photometry; methods: data analysis; techniques: image processing
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Physics and Astronomy
Identification Number:
Depositing User: Eprints, Support
Date Deposited: 15 Jun 2017 11:06
Last Modified: 04 May 2020 18:30

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