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Introduction to Supervised Regression and Classification with Machine Learning Methods

A Practical Overview of Stellar Spectroscopy and Abundance Analysis

presented by

Laia Casamiquela

I will present a brief and practical overview of stellar spectroscopy  and abundance analysis using high resolution spectroscopic data. First,  I will briefly explain some basic concepts and ingredients to understand  how to derive atmospheric parameters and chemical abundances from a  stellar spectrum. Then I will illustrate the process doing a real time  analysis of real spectra with the code iSpec (Blanco-Cuaresma et al. 2014).