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Search for galaxy clusters at high redshifts

Grant number: 18/01469-6
Support type:Scholarships in Brazil - Master
Effective date (Start): May 01, 2018
Effective date (End): June 30, 2020
Field of knowledge:Physical Sciences and Mathematics - Astronomy - Extragalactic Astrophysics
Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal Investigator:Laerte Sodré Junior
Grantee:Marcelo Ciani Vicentin
Home Institution: Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG). Universidade de São Paulo (USP). São Paulo , SP, Brazil


Galaxy's clusters are known as one of the greatest gravitationally bounded structure of the universe. Comprehend their formation and evolution is very important to improve the cosmology field, to understand the environment's influence in galaxies evolution and, possibly, the formation of supermassive black holes. In this work, it is intended to search for galaxy's clusters with redshift between 1 and 2. For this, multiband images (obtained by the deep field telescope CFHT with Megacam camera) containing a triplet of quasars as tracers will be used. According with Boris et al. 2007, systems of quasars possibly indicates over densities regions which may be associated with protoclusters or clusters formation. Catalogues with the objects present in the images will be made using the SExtractor software and the photometric redshifts will be estimated with ANNz2, a machine learning software that maps the colors or magnitudes data. The COSMOS2015 catalogue will be used as the training set of data, once it has photometric magnitudes and a high precision redshifts measurements. Also, simulated catalogues will be generated in parallel of this work to estimate Ãz, once it is intended to know the interval zt z < zt < zt + z, where zt is the mean redshift of the triplet and z < Ãz . All this information will allow to select the interest objects which are in the region of the triplet, analyze the over densities regions and the coloring of these objects through color and magnitudes diagrams, in order to evaluate if there's a cluster formation and the significance of these results. (AU)