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Next generation spectroscopic analysis for large samples of massive stars

Published online by Cambridge University Press:  29 August 2024

Joachim M. Bestenlehner Open the ORCID record for Joachim M. Bestenlehner [Opens in a new window]
Joachim M. Bestenlehner*
Affiliation:
Department of Physics & Astronomy, Hounsfield Road, University of Sheffield, S3 7RH, UK
*
email: j.m.bestenlehner@sheffield.ac.uk
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Abstract

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Upcoming large-scale spectroscopic surveys such as WEAVE and 4MOST will provide thousands of spectra of massive stars, which need to be analysed in an efficient and homogeneous way. Studies on massive stars are usually based on samples of a few hundred objects which pushes current spectroscopic analysis tools to their limits because visual inspection is necessary to verify the spectroscopic fit.

The novel spectroscopic analysis pipeline takes advantage of the statistics that large samples provide, and determines the model error to account for imperfections in stellar atmosphere codes due to simplified, wrong or missing physics. Considering observational plus model uncertainties improve spectroscopic fits. The pipeline utilises the entire spectrum rather than selected diagnostic lines allowing a wider range of temperature from B to early O stars to be analysed. A small fraction of stars like peculiar, contaminated or spectroscopic binaries require visual inspection, which are identified through their larger uncertainties.

Keywords

methods: data analysisstars: early-typestars: massivestars: fundamental parametersstars: abundances
Type
Contributed Paper
Information
Proceedings of the International Astronomical Union , Volume 18 , Symposium S361: Massive Stars Near and Far , May 2022 , pp. 145 - 150
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Astronomical Union

References

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