The first and second data releases of the Kilo-Degree Survey

By J. D. de Jong, G. Kleijn, D. Boxhoorn, H. Buddelmeijer, M. Capaccioli, Fedor I. Getman, A. Grado, E. Helmich, Zhuoyi Huang, N. Irisarri and 39 more. 2015

201 citations recorded by the source corpus.

Context. The Kilo-Degree Survey (KiDS) is an optical wide-field imaging survey carried out with the VLT Survey Telescope and the OmegaCAM camera. KiDS will image 1500 square degrees in four filters (ugri), and together with its near-infrared counterpart VIKING will produce deep photometry in nine bands. Designed for weak lensing shape and photometric redshift measurements, its core science driver is mapping the large-scale matter distribution in the Universe back to a redshift of ~0.5. Secondary science cases include galaxy evolution, Milky Way structure, and the detection of high-redshift clusters and quasars. Aims: KiDS is an ESO Public Survey and dedicated to serving the astronomical community with high-quality data products derived from the survey data. Public data releases, the first two of which are presented here, are crucial for enabling independent confirmation of the survey's scientific value. The achieved data quality and initial scientific utilization are reviewed in order to validate the survey data. Methods: A dedicated pipeline and data management system based on Astro-WISE, combined with newly developed masking and source classification tools, is used for the production of the data products described here. Science projects based on these data products and preliminary results are outlined. Results: For 148 survey tiles (≈160 sq.deg.) stacked ugri images have been released, accompanied by weight maps, masks, source lists, and a multi-band source catalogue. 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 photometry prior to global homogenization is stable at the ~2% (4%) level in gri (u) with some outliers due to non-photometric conditions, while the astrometry shows a typical 2D rms of 0.03''. Early scientific results include the detection of nine high-z QSOs, fifteen candidate strong gravitational lenses, high-quality photometric redshifts and structural parameters for hundreds of thousands of galaxies.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/cffc66fc0968d0314a94a60a58d44d7a23119764

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Citations in the corpus

KiDS-450: testing extensions to the standard cosmological model (2016, methodology): “The raw pixel data is processed by THELI (Erben et al. 2013) and ASTRO-WISE (Begeman et al. 2013; de Jong et al. 2015), while the shears are measured using lensfit MNRAS 471, 1259–1279 (2017) Downloaded from https://academic.oup.com/mnras/article-abstract/471/2/1259/3760291 by Bibliotheek Rechten…”
KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing (2016, methodology): “Under the assumption that the VST OmegaCAM camera shear is relatively stable (as motivated by de Jong et al. 2015), we can estimate a spatially dependent astrometric error from the measured camera shear per pointing (see e.g. Erben et al. 2013).”
KiDS-450: The tomographic weak lensing power spectrum and constraints on cosmological parameters (2017, methodology): “Data from large weak lensing surveys such as the Kilo Degree Survey (KiDS; de Jong et al. 2013, 2015; Kuijken et al. 2015; de Jong et al. 2017), the Subaru Hyper SuprimeCam lensing survey (Miyazaki et al. 2015; Aihara et al. 2017) and the Dark Energy Survey (DES; Jarvis et al. 2016) are currently…”
Illuminating Low Surface Brightness Galaxies with the Hyper Suprime-Cam Survey (2017, methodology): “…of wide-field optical imaging surveys such as the Dark Energy Survey (Dark Energy Survey Collaboration et al. 2016), the Kilo-Degree Survey (de Jong et al. 2015), our ongoing Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP; Aihara et al. 2018b), and ultimately the Large Synoptic Survey…”
THE REDMAPPER GALAXY CLUSTER CATALOG FROM DES SCIENCE VERIFICATION DATA (2016, background): “…from ongoing and upcoming photometric surveys such as the Dark Energy Survey (DES; The DES Collaboration 2005), the Kilo-Degree Survey (KiDS; de Jong et al. 2015), the Hyper-Suprime Camera (HSC)1, the Large Synoptic Survey Telescope (LSST; LSST Science Collaboration et al. 2009), Euclid…”
KiDS-450 + 2dFLenS: Cosmological parameter constraints from weak gravitational lensing tomography and overlapping redshift-space galaxy clustering (2017, methodology): “While THELI (Erben et al. 2013) and ASTRO-WISE (Begeman et al. 2013; de Jong et al. 2015) were used to process the raw pixel data, the shears were measured using lensfit (Miller et al. 2013) and calibrated using a dedicated large suite of image simulations (Fenech-Conti et al. 2017).”
KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data (2018, methodology): “Recently, we presented one of the most robust cosmic shear analyses to date (Hildebrandt et al. 2017; hereafter H17) based on data from the European Southern Observatory’s Kilo-Degree Survey (KiDS; Kuijken et al. 2015; de Jong et al. 2015, 2017).”
The fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees (2019, methodology): “For details of the image processing pipelines we refer to the description in the DR1/2 and DR3 release papers (de Jong et al. 2015, henceforth DR1/2 and de Jong et al. 2017, henceforth DR3), noting the changes described in Sects.”
CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding (2017, methodology): “For instance, Petrillo et al. (2017) recently published an application on the Kilo Degree Survey (KiDS; de Jong et al. 2015).”