PySME v1.0: Improved modelling of stellar spectra for survey-scale applications

Stellar abundance analysis relies on flexible, high-performance spectral synthesis. To meet these needs, we present PySME v1.0, an updated Python implementation of Spectroscopy Made Easy (SME) designed for precise and survey-scale modelling of stellar spectra. A central challenge in SME-based synthe...

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Autors principals:	Jian Mingjie, Piskunov Nikolai, Valenti Jeff, Xi Wang Ella, Thorsbro Brian, Jönsson Henrik, Wehrhahn Ansgar
Format:	Artigo
Idioma:	Inglês
Publicat:	EDP Sciences 2026-07-01
Col·lecció:	Astronomy & Astrophysics
Matèries:	line: formation radiative transfer methods: numerical techniques: spectroscopic stars: abundances stars: atmospheres
Accés en línia:	https://www.aanda.org/articles/aa/full_html/2026/07/aa59986-26/aa59986-26.html
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