Issue |
A&A
Volume 604, August 2017
|
|
---|---|---|
Article Number | A134 | |
Number of page(s) | 26 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/201730747 | |
Published online | 28 August 2017 |
The third data release of the Kilo-Degree Survey and associated data products
1 Leiden Observatory, Leiden University, PO Box 9513, 2300 RA Leiden, The Netherlands
e-mail: jdejong@strw.leidenuniv.nl
2 Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands
3 Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany
4 INAF – Osservatorio Astronomico di Capodimonte, via Moiariello 16, 80131 Napoli, Italy
5 National Centre for Nuclear Research, Astrophysics Division, PO Box 447, 90-950 Łódź, Poland
6 Department of Physics “E. Pancini”, University Federico II, via Cinthia 6, 80126 Napoli, Italy
7 INAF – Osservatorio Astronomico di Padova, via dell’Osservatorio 5, 35122 Padova, Italy
8 Scottish Universities Physics Alliance, Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh, EH9 3HJ, UK
9 Centre for Astrophysics & Supercomputing, Swinburne University of Technology, PO Box 218, Hawthorn, VIC 3122, Australia
10 Center for Cosmology and AstroParticle Physics, The Ohio State University, 191 West Woodruff Avenue, Columbus, OH 43210, USA
11 Institute of Space Sciences and Astronomy (ISSA), University of Malta, Msida, MSD 2080, Malta
12 Department of Physics, University of Malta, Msida, MSD 2080, Malta
13 Canadian Astronomy Data Centre, Herzberg Astronomy and Astrophysics, 5071 West Saanich Road, Victoria, BC, V9E 2E7, Canada
14 Department of Physics, University of Oxford, Keble Road, Oxford OX1 3RH, UK
Received: 8 March 2017
Accepted: 12 May 2017
Context. The Kilo-Degree Survey (KiDS) is an ongoing optical wide-field imaging survey with the OmegaCAM camera at the VLT Survey Telescope. It aims to image 1500 square degrees in four filters (ugri). The core science driver is mapping the large-scale matter distribution in the Universe, using weak lensing shear and photometric redshift measurements. Further science cases include galaxy evolution, Milky Way structure, detection of high-redshift clusters, and finding rare sources such as strong lenses and quasars.
Aims. Here we present the third public data release and several associated data products, adding further area, homogenized photometric calibration, photometric redshifts and weak lensing shear measurements to the first two releases.
Methods. A dedicated pipeline embedded in the Astro-WISE information system is used for the production of the main release. Modifications with respect to earlier releases are described in detail. Photometric redshifts have been derived using both Bayesian template fitting, and machine-learning techniques. For the weak lensing measurements, optimized procedures based on the THELI data reduction and lensfit shear measurement packages are used.
Results. In this third data release an additional 292 new survey tiles (≈300 deg2) stacked ugri images are made available, accompanied by weight maps, masks, and source lists. The multi-band catalogue, including homogenized photometry and photometric redshifts, covers the combined DR1, DR2 and DR3 footprint of 440 survey tiles (44 deg2). Limiting magnitudes are typically 24.3, 25.1, 24.9, 23.8 (5σ in a 2′′ aperture) in ugri, respectively, and the typical r-band PSF size is less than 0.7′′. The photometric homogenization scheme ensures accurate colours and an absolute calibration stable to ≈2% for gri and ≈3% in u. Separately released for the combined area of all KiDS releases to date are a weak lensing shear catalogue and photometric redshifts based on two different machine-learning techniques.
Key words: surveys / catalogs / techniques: photometric / techniques: image processing
© ESO, 2017
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