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Featured researches published by Ewout Helmich.


Monthly Notices of the Royal Astronomical Society | 2015

Gravitational lensing analysis of the Kilo-Degree Survey

Konrad Kuijken; Catherine Heymans; Hendrik Hildebrandt; Reiko Nakajima; Thomas Erben; Jelte T. A. de Jong; Massimo Viola; Ami Choi; Henk Hoekstra; Lance Miller; Edo van Uitert; Alexandra Amon; Chris Blake; Margot M. Brouwer; Axel Buddendiek; Ian Fenech Conti; Martin Eriksen; A. Grado; Joachim Harnois-Déraps; Ewout Helmich; Ricardo Herbonnet; Nancy Irisarri; Thomas D. Kitching; Dominik Klaes; Francesco La Barbera; N. R. Napolitano; M. Radovich; Peter Schneider; Cristóbal Sifón; Gert Sikkema

The Kilo-Degree Survey (KiDS) is a multi-band imaging survey designed for cosmological studies from weak lensing and photometric redshifts. It uses the European Southern Observatory VLT Survey Telescope with its wide-field camera OmegaCAM. KiDS images are taken in four filters similar to the Sloan Digital Sky Survey ugri bands. The best seeing time is reserved for deep r-band observations. The median 5σ limiting AB magnitude is 24.9 and the median seeing is below 0.7 arcsec. Initial KiDS observations have concentrated on the Galaxy and Mass Assembly (GAMA) regions near the celestial equator, where extensive, highly complete redshift catalogues are available. A total of 109 survey tiles, 1 square degree each, form the basis of the first set of lensing analyses of halo properties of GAMA galaxies. Nine galaxies per square arcminute enter the lensing analysis, for an effective inverse shear variance of 69 arcmin-2. Accounting for the shape measurement weight, the median redshift of the sources is 0.53. KiDS data processing follows two parallel tracks, one optimized for weak lensing measurement and one for accurate matched-aperture photometry (for photometric redshifts). This technical paper describes the lensing and photometric redshift measurements (including a detailed description of the Gaussian aperture and photometry pipeline), summarizes the data quality and presents extensive tests for systematic errors that might affect the lensing analyses. We also provide first demonstrations of the suitability of the data for cosmological measurements, and describe our blinding procedure for preventing confirmation bias in the scientific analyses. The KiDS catalogues presented in this paper are released to the community through http://kids.strw.leidenuniv.nl.


Monthly Notices of the Royal Astronomical Society | 2017

The SAMI Galaxy Survey : the cluster redshift survey, target selection and cluster properties

Matt S. Owers; J. T. Allen; Ivan K. Baldry; Julia J. Bryant; Gerald Cecil; Luca Cortese; Scott M. Croom; Simon P. Driver; L. M. R. Fogarty; Andrew W. Green; Ewout Helmich; J. T. A. de Jong; K. Kuijken; Smriti Mahajan; John McFarland; Michael Pracy; A. G. S. Robotham; Gert Sikkema; Sarah M. Sweet; Edward N. Taylor; G. Verdoes Kleijn; Amanda E. Bauer; Joss Bland-Hawthorn; Sarah Brough; Matthew Colless; Warrick J. Couch; Roger L. Davies; Michael J. Drinkwater; Michael Goodwin; Andrew M. Hopkins

We describe the selection of galaxies targeted in eight low-redshift clusters (APMCC0917, A168, A4038, EDCC442, A3880, A2399, A119 and A85; 0.029 < z < 0.058) as part of the Sydney-AAO Multi-Object Integral field spectrograph Galaxy Survey (SAMI-GS). We have conducted a redshift survey of these clusters using the AAOmega multi-object spectrograph on the 3.9-m Anglo-Australian Telescope. The redshift survey is used to determine cluster membership and to characterize the dynamical properties of the clusters. In combination with existing data, the survey resulted in 21 257 reliable redshift measurements and 2899 confirmed cluster member galaxies. Our redshift catalogue has a high spectroscopic completeness (∼94 per cent) for rpetro ≤ 19.4 and cluster-centric distances R < 2R200. We use the confirmed cluster member positions and redshifts to determine cluster velocity dispersion, R200, virial and caustic masses, as well as cluster structure. The clusters have virial masses 14.25 ≤ log(M200/M_⊙) ≤ 15.19. The cluster sample exhibits a range of dynamical states, from relatively relaxed-appearing systems, to clusters with strong indications of merger-related substructure. Aperture- and point spread function matched photometry are derived from Sloan Digital Sky Survey and VLT Survey Telescope/ATLAS imaging and used to estimate stellar masses. These estimates, in combination with the redshifts, are used to define the input target catalogue for the cluster portion of the SAMI-GS. The primary SAMI-GS cluster targets have R


Experimental Astronomy | 2013

The Astro-WISE approach to quality control for astronomical data

John Patrick McFarland; Ewout Helmich; E Valentijn

We present a novel approach to quality control during the processing of astronomical data. Quality control in the Astro-WISE Information System is integral to all aspects of data handing and provides transparent access to quality estimators for all stages of data reduction from the raw image to the final catalog. The implementation of quality control mechanisms relies on the core features in this Astro-WISEEnvironment (AWE): an object-oriented framework, full data lineage, and both forward and backward chaining. Quality control information can be accessed via the command-line awe-prompt and the web-based Quality-WISE service. The quality control system is described and qualified using archive data from the 8-CCD Wide Field Imager (WFI) instrument (http://www.eso.org/lasilla/instruments/wfi/) on the 2.2-m MPG/ESO telescope at La Silla and (pre-)survey data from the 32-CCD OmegaCAM instrument (http://www.astro-wise.org/~omegacam/) on the VST telescope at Paranal.


Experimental Astronomy | 2013

Monitoring the photometric behavior of OmegaCAM with Astro-WISE

G. Verdoes Kleijn; Konrad Kuijken; E Valentijn; Danny Boxhoorn; Kornelis Begeman; E. Deul; Ewout Helmich; R. Rengelink

The OmegaCAM wide-field optical imager is the sole instrument on the VLT Survey Telescope at ESO’s Paranal Observatory. The instrument, as well as the telescope, have been designed for surveys with very good, natural seeing-limited image quality over a 1 square degree field. OmegaCAM was commissioned in 2011 and has been observing three ESO Public Surveys in parallel since October 15, 2011. We use the Astro-WISE information system to monitor the calibration of the observatory and to produce the Kilo Degree Survey (KiDS). Here we describe the photometric monitoring procedures in Astro-WISE and give a first impression of OmegaCAM’s photometric behavior as a function of time. The long-term monitoring of the observatory goes hand in hand with the KiDS survey production in Astro-WISE. KiDS is observed under partially non-photometric conditions. Based on the first year of OmegaCAM operations it is expected that a ∼ 1–2 % photometric homogeneity will be achieved for KiDS.


arXiv: Astrophysics | 2007

Astro-WISE: Chaining to the Universe

E Valentijn; John Mc Farland; Jan Snigula; Kornelis Begeman; Danny Boxhoorn; Roeland Rengelink; Ewout Helmich; P. Heraudeau; G. Verdoes Kleijn; R. Vermeij; Willem-Jan Vriend; M. J. Tempelaar; E. Deul; K. Kuijken; M. Capaccioli; R. Silvotti; Ralf Bender; M. Neeser; R. P. Saglia; E. Bertin; Y. Mellier


Experimental Astronomy | 2013

The Astro-WISE optical image pipeline: Development and implementation

John Patrick McFarland; Gijs Verdoes-Kleijn; Gert Sikkema; Ewout Helmich; Danny Boxhoorn; E Valentijn


Astronomy and Astrophysics | 2017

The third data release of the Kilo-Degree Survey and associated data products

Jelte T. A. de Jong; Gijs Verdoes Kleijn; Thomas Erben; Hendrik Hildebrandt; Konrad Kuijken; Gert Sikkema; Massimo Brescia; Maciej Bilicki; N. R. Napolitano; Valeria Amaro; Kor G. Begeman; Danny Boxhoorn; Hugo Buddelmeijer; Stefano Cavuoti; F. Getman; A. Grado; Ewout Helmich; Z. Huang; Nancy Irisarri; Francesco La Barbera; Guiseppe Longo; John McFarland; Reiko Nakajima; M. Paolillo; E. Puddu; M. Radovich; A. Rifatto; C. Tortora; E Valentijn; Civita Vellucci


Astronomical Data Analysis Software and Systems XVI ASP | 2007

Astronomical Data Analysis Software and Systems XVI ASP Conference Series

E Valentijn; John Mc Farland; Jan Snigula; Kornelis Begeman; Danny Boxhoorn; Roeland Rengelink; Ewout Helmich; P. Heraudeau; Gijsbert Verdoes Kleijn; R. Vermeij; Willem-Jan Vriend; M. J. Tempelaar; E. Deul; K. Kuijken; M. Capaccioli; R. Silvotti; Ralf Bender; M. Neeser; R. P. Saglia; E. Bertin; Y. Mellier


Experimental Astronomy | 2011

The Astro-WISE optical image pipeline

John McFarland; Gijs Verdoes-Kleijn; Gert Sikkema; Ewout Helmich; Danny Boxhoorn; E Valentijn


VizieR On-line Data Catalog: II/344. Originally published in: 2015A&A...582A..62D | 2017

VizieR Online Data Catalog: KiDS-ESO-DR2 multi-band source catalog (de Jong+, 2015)

J. T. A. de Jong; G. Verdoes Kleijn; Danny Boxhoorn; Hugo Buddelmeijer; M. Capaccioli; F. Getman; A. Grado; Ewout Helmich; Z. Huang; Nancy Irisarri; K. Kuijken; F. La Barbera; John Patrick McFarland; N. R. Napolitano; M. Radovich; Gert Sikkema; E Valentijn; Kornelis Begeman; Massimo Brescia; Stefano Cavuoti; Ami Choi; O. Cordes; G. Covone; M. Dall'Ora; Hendrik Hildebrandt; Giuseppe Longo; Reiko Nakajima; M. Paolillo; E. Puddu; A. Rifatto

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E Valentijn

Kapteyn Astronomical Institute

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Danny Boxhoorn

Kapteyn Astronomical Institute

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Gert Sikkema

Kapteyn Astronomical Institute

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G. Verdoes Kleijn

Kapteyn Astronomical Institute

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John McFarland

Kapteyn Astronomical Institute

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K. Kuijken

Kapteyn Astronomical Institute

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Kornelis Begeman

Kapteyn Astronomical Institute

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