Data store

RCSLenS data products.

The following data products can be downloaded from CADC:

• RCSLenS object catalogues (includes photometry and lensing shape information) from here

• RCSLenS image data products (stack images, weight images, masks and secondary image products and a readme) from here

• RCSLenS image cutout service and graphical search tool

The data products made available in this data release are described in Hildebrandt et al. (2016, in preparation).

Acknowledging the use of RCSLenS data products in publications:

The use of the RCSLenS imaging, photometry or shear catalogues should be acknowledged in publications by including the paragraph listed below, in addition to citing the RCSLenS technical paper within the text. Here we provide an example paragraph that includes all the relevant references:

"We use data from the Red Cluster Sequence Lensing Survey (Hildebrandt et al. 2016), hereafter referred to as RCSLenS which is based on the Red Sequence Cluster Survey 2 (Gilbank et al. 2011). The RCSLenS team combined weak lensing data processing with THELI (Erben et al. 2012), shear measurement with lensfit (Miller et al. 2012), and photometric redshift measurement with PSF-matched photometry (Hildebrandt et al. 2012). A full systematic error analysis of the shear measurements in combination with the photometric redshifts is presented in Hildebrandt et al. (2016), with additional error analyses of the photometric redshift measurements presented in Choi et al. (2016)."

Please also include the following paragraph in your acknowledgements section:

"This work is based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the Canada-France-Hawaii Telescope (CFHT) which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences de l'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This research used the facilities of the Canadian Astronomy Data Centre operated by the National Research Council of Canada with the support of the Canadian Space Agency. RCSLenS data processing was made possible thanks to significant computing support from the NSERC Research Tools and Instruments grant program."

We are keen for the community to make full use of this data product, so do not hesitate to contact the RCSLenS PI, Hendrik Hildebrandt ( or Thomas Erben (, who was responsible for the data reduction, if you have any questions about the survey and the catalogues.