Automatic Detection of Galaxy Clusters Applying Cluster Red Sequence Algorithm: Galaxy Clusters and Groups in the Field of the   Survey

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Darvish Sarvestani, Behnam | 2009

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39476 (04)
University: Sharif University of Technology
Department: Physics
Advisor(s): Mansouri, Reza
Abstract:
Galaxy clusters are the most massive virialized systems in the universe. Their studies provide crucial grasp on the galaxy formation and evolution, dark matter and its nature, cosmological parameters and large scale structure of the universe. Because of their significant role in cosmology, providing a catalogue of galaxy clusters in a wide range of spatial angle, mass and redshift seems vital. Galaxy cluster detection can be performed by various methods in a broad spectrum of electromagnetic radiation. Optical detection of galaxy clusters is of the most traditional and popular methods. Among optical algorithms, one of the most efficient is called Cluster Red Sequence (CRS) which applies the Color-Magnitude Diagram (CMD) of cluster early-type galaxies to search for clusters. In this thesis, we first simulate the red sequence lines at different redshifts and then apply the CRS algorithm to detect galaxy clusters and groups in the field of the survey
Keywords:
Galaxy Cluster ; Color-Moganitude Diagram ; Cluster Red Sequence (CRS) ; Galaxy Clusters Catalogue ; Optical Detection

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