The WIRCam Deep Survey - II. Mass selected clustering
@article{Bielby2013TheWD, title={The WIRCam Deep Survey - II. Mass selected clustering}, author={Richard M Bielby and Violeta Gonzalez-Perez and Henry Joy McCracken and Olivier Ilbert and Emanuele Daddi and Olivier Le F{\`e}vre and Patrick Hudelot and Jean-Paul Kneib and Yannick Mellier and Chris J. Willott}, journal={Astronomy and Astrophysics}, year={2013}, volume={568} }
We present an analysis of the clustering of galaxies from z ≈ 2 to the present day
using the WIRCam Deep Survey (WIRDS). WIRDS combines deep optical data from the CFHTLS
Deep fields with its own deep near-infrared data, providing a photometric data-set over an
effective area of 2.4 deg2, from which accurate photometric redshifts and stellar
masses can be estimated. We use the data to calculate the angular correlation function for
galaxy samples split by star-formation activity…
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