The Application of the Multi-Dimensional Clustering Algorithm in the Field of Abell 383

Details The Application of the Multi-Dimensional Clustering Algorithm in the Field of Abell 383 The Application of the Multi-Dimensional Clustering Algorithm in the Field of Abell 383

Oct 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aspc..446..103f&link_type=abstract

Galaxy evolution: Infrared to millimeter wavelength perspective. Proceedings of a conference held at Guilin, China 25-29 October

Astronomy and Astrophysics

Astronomy

Scientific paper

We propose a general multi-dimensional clustering algorithm to find galaxy clusters and groups. Our algorithm selects galaxy cluster candidates as overdensities in a multi-dimensional space including angular position and colors. The redshifts of the candidates are estimated by the median photometric redshift of potential cluster members. We apply the multi-dimensional clustering algorithm to Subaru data in five optical bands of the Abell 383 field. We detect the well-studied Abell cluster A 383 at the 10σ level, and correctly estimate its redshift of z ˜ 0.18. A new massive component, 10 arc minutes away from the center of A 383, is found at 5σ confidence. The photometric redshift of this previously unknown galaxy clump is similar to the one of A 383, suggesting that it is a major sub-component of A 383. In addition, a cluster candidate at redshift z = 0.62 is identified at 8σ. Detections in X-ray and weak lensing confirm this overdensity to be a newly found galaxy cluster. By fitting an NFW profile to the weak lensing data, we derive a cluster mass of Mvir = 1.54-0.76+0.96 × 1014M&sun;.

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