Optical spectroscopic signatures of the red giant evolutionary state
Ella Xi Wang, Melissa Ness, Thomas Nordlander, Andrew R. Casey, Sarah Martell, Marc Pinsonneault, Xiaoting Fu, Dennis Stello, Claudia Reyes, Marc Hon, Madeleine McKenzie, Mingjie Jian, Jie Yu, Sven Buder, Karin Lind, Joss Bland-Hawthorn, Daniel B. Zucker, Pradosh Barun Das

TL;DR
This study uses data-driven analysis of large spectroscopic surveys to identify subtle optical spectral signatures that distinguish red giant evolutionary states, revealing systematic differences linked to stellar evolution.
Contribution
The paper introduces a model-free, data-driven approach to detect spectral signatures of red giant evolutionary states using large survey data and asteroseismology classifications.
Findings
Detected sub-percent spectral differences between RC and RGB stars.
Identified differences in Swan and CN bands related to stellar evolution.
Observed variations in Hα and Hβ line widths linked to microturbulence.
Abstract
Modern spectroscopic surveys output large data volumes. Theoretical models provide a means to transform the information encoded in these data to measurements of physical stellar properties. However, in detail the models are incomplete and simplified, and prohibit interpretation of the fine details in spectra. Instead, the available data provide an opportunity to use data-driven, differential analysis techniques, as a means towards understanding spectral signatures. We deploy such an analysis to examine core helium-fusing red clump (RC) and shell hydrogen-fusing red giant branch (RGB) stars, to uncover signatures of evolutionary state imprinted in optical stellar spectra. We exploit 786 pairs of RC and RGB stars from the GALAH survey, chosen to minimise spectral differences, with evolutionary state classifications from TESS and K2 asteroseismology. We report sub-percent residual,…
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Taxonomy
TopicsSpectroscopy Techniques in Biomedical and Chemical Research · Photoreceptor and optogenetics research · Molecular spectroscopy and chirality
