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Paper: The Application of the Multi-Dimensional Clustering Algorithm in the Field of Abell 383
Volume: 446, Galaxy Evolution: Infrared to Millimeter Wavelength Perspective
Page: 103
Authors: Fu, L.; Huang, Z.; Kilbinger, M.; Radovich, M.; Grado, A.; Puddu, E.; Shu, C.; Huang, J.-S.
Abstract: 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.
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