M
Merijn Smit
Researcher at Leiden University
Publications - 6
Citations - 457
Merijn Smit is an academic researcher from Leiden University. The author has contributed to research in topics: Weak gravitational lensing & Estimator. The author has an hindex of 3, co-authored 6 publications receiving 432 citations.
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Journal ArticleDOI
CFHTLenS: the Canada–France–Hawaii Telescope Lensing Survey – imaging data and catalogue products
Thomas Erben,Hendrik Hildebrandt,Hendrik Hildebrandt,Lance Miller,L. van Waerbeke,Catherine Heymans,Henk Hoekstra,Henk Hoekstra,Thomas D. Kitching,Yannick Mellier,J. Benjamin,Chris Blake,Christopher Bonnett,O. Cordes,Jean Coupon,Liping Fu,Raphael Gavazzi,B. Gillis,B. Gillis,E. Grocutt,S. D. J. Gwyn,K. Holhjem,Michael J. Hudson,Michael J. Hudson,Martin Kilbinger,Konrad Kuijken,Martha Milkeraitis,Barnaby Rowe,Barnaby Rowe,Tim Schrabback,Tim Schrabback,Tim Schrabback,E. Semboloni,Patrick Simon,Merijn Smit,O. Toader,Sanaz Vafaei,E. van Uitert,E. van Uitert,Malin Velander,Malin Velander +40 more
TL;DR: In this paper, the authors present data products from the Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS) data set and demonstrate that their data meet necessary requirements to fully exploit the survey for weak gravitational lensing analyses in connection with photometric redshift studies.
Journal ArticleDOI
The mass distribution in an assembling super galaxy group at $z=0.37$
Merijn Smit,Tim Schrabback,Malin Velander,Konrad Kuijken,Anthony H. Gonzalez,John Moustakas,Kim-Vy Tran +6 more
TL;DR: In this paper, a weak gravitational lensing analysis of supergroup SG1120$-$1202, consisting of four distinct X-ray-luminous groups, that will merge to form a cluster comparable in mass to Coma at 0.
Journal ArticleDOI
Mass distribution in an assembling super galaxy group at z = 0.37
Journal ArticleDOI
Chasing the peak: optimal statistics for weak shear analyses
Merijn Smit,Konrad Kuijken +1 more
TL;DR: In this article, the authors explore alternative statistics for samples of ellipticity measurements, and find that the least absolute deviations estimator is the most efficient estimator in almost all cases, except in the Gaussian case, where it is still competitive (0.83 η -3 ).
Journal ArticleDOI
Chasing the peak: optimal statistics for weak shear analyses
Merijn Smit,Konrad Kuijken +1 more
TL;DR: In this paper, the authors explore alternative statistics for samples of ellipticity measurements that are unbiased, efficient, and robust, taking the non-linear mapping of gravitational shear and the effect of noise into account.