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Title: CFHTLenS 3D-MF Galaxy Cluster Catalog

Type Dataset Ford, Jes (2014): CFHTLenS 3D-MF Galaxy Cluster Catalog. Zenodo. Dataset. https://zenodo.org/record/51291

Author: Ford, Jes (University of British Columbia Dept of Physics & Astronomy, University of Washington eScience Institute) ;

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Summary

These catalogs contain the publically available 3D-Matched-Filter (3D-MF) Galaxy Cluster candidates in the 4 fields of CFHTLenS.

Each catalog contains 5 columns: right ascension (RA), declination (DEC), redshift (z), 3D-MF detection significance (sig), and richness (n200).

As discussed in the references below, sig has been found to scale well with mass. While these catalogs contain all clusters detected at sig > 3.5, we expect there to be significant false detections at the lower end of this. Depending on your application, you may find it useful to make a cut at perhaps sig > 5 or 10. The position of the cluster (RA, DEC) is coincident with the peak in the 3D-MF likelihood map, and does NOT necessarily coincide with a member galaxy. Redshift z is the center of the 3D-MF redshift bin that maximizes a cluster detection, and has not been refined to more precise values than the binning employed by the 3D-MF algorithm. For more details, please consult the references given below.

Details of the 3D-MF algorithm can be found in Milkeraitis et al. 2010 (http://arxiv.org/abs/0912.0739).

The specifics of the 3D-MF application to the CFHTLenS fields can be found in Ford et al. 2014 (http://arxiv.org/abs/1310.2295) and Ford et al. 2015 (http://arxiv.org/abs/1409.3571).

If you have any questions about these catalogs, please contact jesfordphd@gmail.com

More information

  • DOI: 10.5281/zenodo.51291

Dates

  • Publication date: 2014
  • Issued: September 11, 2014

Notes

Other: This catalog was made public as part of work by the CFHTLenS collaboration.

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

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