Lunes 28 de octubre – 13:30 horas
Expositor: Rodrigo Haack (becario doctoral de CONICET – IALP)
Resumen: In the context of the S-PLUS Fornax Project (S+FP), we have obtained an extragalactic catalog containing homogeneous photometry for ~ 65,000 galaxies located, in projection, in the direction of the Fornax cluster, covering a sky area of ~ 208 square degrees around NGC 1399. A key problem to be solved in order to identify possible substructures in the spatial distribution of the objects included in that catalog, is to reliably determine their redshifts. In this talk we will present the strategy used to obtain the Extragalactic Catalog of the S+FP which involved the application of Machine Learning (ML) and Deep Learning (DL) techniques on a total of 3 x 10^6 resolved and unresolved sources, to identify and remove spurious objects and to perform a star/galaxy separation. From the application to this catalog of template fitting techniques, we were able to obtain preliminary photometric redshifts using the photometry in the 12 bands of S-PLUS, complemented with GALEX, VHS-Vista and WISE data. As a starting point, we expect such information allows us to differentiate, at least with some degree of confidence, background objects from possible Fornax members. This work represents the initial steps of my PhD Thesis, which proposes the study of the Doradus-Fornax-Eridanus filament with S-PLUS images.