Development Of A Line List For Automation Of Stellar Abundance Analysis

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
David Gribble (Creator)
Appalachian State University (ASU )
Web Site:
Michael Briley

Abstract: By looking at abundances of elements in stars and clusters, we can draw conclusions about the histories of those clusters and of the stars within them. And by looking at stars that may not match our current theories of stellar evolution, we can close some of the gaps in our understanding of the evolution and lifecycles of stars. As surveys get increasingly larger and generate progressively more data, having tools that facilitate the automatic processing of these large data sets becomes ever more desirable. In this paper, we develop a “line list” of 428 transitions necessary for detailed abundance analyses of high-resolution spectra, and then present a semi-automated method for determining abundances from equivalent width measurements through the use of the line list with the spectral-line fitting software DAOSpec, the MARCS grid of model atmospheres, and the spectral-line analysis software MOOG. We demonstrate our line list and abundance analysis tools on two different stars, NGC 6940 101 and IC 4756 14. We present our derived stellar atmosphere parameters for those stars and give detailed abundance analyses. We then compare these results to those found in other studies to demonstrate the quality and reliability of our tools.

Additional Information

Gribble, D. (2018). "Development Of A Line List For Automation Of Stellar Abundance Analysis." Unpublished Master’s Thesis. Appalachian State University, Boone, NC.
Language: English
Date: 2018
Abundances, Spectroscopy, Stars: Evolution, Stars: Atmospheres, Nucleosynthesis

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