Abstract Details
| Name: Debasish Hazarika Affiliation: University of Atacama, Chile Conference ID: ASI2024_706 Title : Chemodynamic Profiling of Milky Way Using SPLUS Data Authors and Co-Authors : Debasish Hazarika 1, Carlos E. Ferreira Lopes 1, Luis A. Gutiérrez-Soto 2, Vincenzo S. Ferreira Alberice 3,4, Nicolas Monsalves Gonzalez 5 Abstract Type : Poster Abstract Category : Stars, Interstellar Medium, and Astrochemistry in Milky Way Abstract : We present a comprehensive chemodynamical profiling of the Milky Way, utilizing an extensive dataset of over 15 million celestial objects. We leverage the unique multiwavelength 12-band photometric observational data from the ongoing Southern Photometric Local Universe Survey (S-PLUS) to classify these objects. Furthermore, we estimate key chemical abundances ([Fe/H], [Alpha/H], [Ca/Fe], [C/Fe], [Mg/Fe], [Si/Fe], [Ni/Fe], and [Na/Fe]) for this vast stellar population, drawing upon data from LAMOST, APOGEE, and GALAH as training sets, and employing machine learning models to predict these parameters. By harnessing the combination of broad and narrow S-PLUS bands, which yield 66 distinct colors, we are able to provide reliable estimates of spectroscopic parameters. Additionally, we integrate information on radial velocity and proper motion from RAVE and GAIA datasets, which, when combined with the predicted chemical abundances, allow for precise positioning of these celestial objects within the Milky Way. This enables us to distinguish and categorize various galactic components, including the thin and thick disks, the halo, and other structures within our galaxy, considering spatial, chemical, and dynamical aspects. |