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Improving synthetic stellar libraries with Gaia benchmark stars

Grant number: 18/26381-4
Support type:Scholarships abroad - Research
Effective date (Start): August 01, 2019
Effective date (End): January 31, 2020
Field of knowledge:Physical Sciences and Mathematics - Astronomy
Principal Investigator:Lucimara Pires Martins
Grantee:Lucimara Pires Martins
Host: Philippe C Prugniel
Home Institution: Pró-Reitoria de Pós-Graduação e Pesquisa. Universidade Cruzeiro do Sul (UNICSUL). São Paulo , SP, Brazil
Local de pesquisa : Université Claude Bernard Lyon 1, France  

Abstract

Libraries of stellar spectra are fundamental tools for the study of stellar popu-lations. Despite the significant improvement of recent libraries, there is still a lot tobe done in order to have libraries that are able to generate models that can reproducethe observed stellar population spectra of real galaxies. Theoretical stellar libraries areparticularly interesting for stellar population models, since it is impossible to reproducethe spectrum of galaxies with chemical histories that differ from our solar neighborhoodusing only the spectra of observed stars. On the other hand, theoretical stellar spectraare still very imprecise. One of the major difficulties of theoretical spectra is the atomicand molecular line list used to generate it. Very few of the atomic and molecularparameters of these lists were measured in laboratory, and because of that, most ofthem are very uncertain. We propose in this work an innovative method to calibrateatomic lines lists - ALiCCE (Atomic Lines Calibration using Cross-Entropy algorithm).This method allows the the calibration to be done in a robust and efficient way. Themethod will be applied on a set of fundamental stars from the Gaia Benchmark library.The improved line list can then be used to generate theoretical stellar models withunprecedented accuracy.