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Session: Stars, Planets and the Interstellar Medium

Name: Mr. Anastasis Karagiannis (National & Kapodistrian Univ. of Athens)
Coauthors: No coauthors were included.
Type: Poster
Title: Characterizing Hα emitters from the S-PLUS survey, combining photometric from GALEX, GAIA and SDSS data
Abstract:

The era of Big Data astronomy/astrophysics has begun, and the combination of photometric data from different surveys provide a unique pool of information for the characterization or identification of various sources. Hα emitters are sources of particular high interest as they cover a wide range of classes from planetary nebulae, symbiotic stars, cataclysmic variable, young stellar objects, star-forming galaxies, QSO, among others. The identification and characterization of Hα emitters in publicly available photometric surveys is essential for understanding better the underlying physical processes that regulate the emission of Hα line and for studying stellar and galaxy evolution. Observed and modeled colors based on the GALEX, GAIA and SDSS surveys for main sequence stars, white dwarfs, binary systems, galaxies and QSOs have been used in order to explore the origin of Hα emitters found in the SPLUS survey. Machine learning algorithms have also been employed to look for the colors that better distinguish UV and non-UV source.