Dataset Open Access

# CFHTLenS 3D-MF Galaxy Cluster Catalog

Ford, Jes

### DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<identifier identifierType="DOI">10.5281/zenodo.51291</identifier>
<creators>
<creator>
<creatorName>Ford, Jes</creatorName>
<affiliation>University of British Columbia Dept of Physics &amp; Astronomy, University of Washington eScience Institute</affiliation>
</creator>
</creators>
<titles>
<title>Cfhtlens 3D-Mf Galaxy Cluster Catalog</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2014</publicationYear>
<dates>
<date dateType="Issued">2014-09-11</date>
</dates>
<resourceType resourceTypeGeneral="Dataset"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/51291</alternateIdentifier>
</alternateIdentifiers>
<rightsList>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract">&lt;p&gt;These catalogs contain the publically available 3D-Matched-Filter (3D-MF) Galaxy Cluster candidates in the 4 fields of CFHTLenS.&lt;/p&gt;

&lt;p&gt;Each catalog contains 5 columns: right ascension (RA), declination (DEC), redshift (&lt;em&gt;z&lt;/em&gt;), 3D-MF detection significance (sig), and richness (n200).&lt;/p&gt;

&lt;p&gt;As discussed in the references below, sig has been found to scale well with mass. While these catalogs contain all clusters detected at sig &amp;gt; 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 &amp;gt; 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 &lt;em&gt;z&lt;/em&gt; 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.&lt;/p&gt;

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

&lt;p&gt;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).&lt;/p&gt;

<description descriptionType="Other">This catalog was made public as part of work by the CFHTLenS collaboration.</description>
</descriptions>
</resource>