Enhanced methods for computing spectra from CO5BOLD models using\n Linfor3D. Molecular bands in metal-poor stars
A. J. Gallagher, M. Steffen, E. Caffau, P. Bonifacio, H.‐G. Ludwig, B. Freytag
Abstract
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A. J. Gallagher, M. Steffen, E. Caffau, P. Bonifacio, H.‐G. Ludwig, B. Freytag
Abstract
Open-access reader
Molecular features such as the G-band, CN-band and NH-band are important\ndiagnostics for measuring a star's carbon and nitrogen abundances, especially\nin metal-poor stars where atomic lines are no longer visible in stellar\nspectra. Unlike atomic transitions, molecular features tend to form in bands,\nwhich cover large wavelength regions in a spectrum. While it is a trivial\nmatter to compute carbon and nitrogen molecular bands under the assumption of\n1D, it is extremely time consuming in 3D. In this contribution to the 2016\nCO5BOLD workshop we review the improvements made to the 3D spectral synthesis\ncode Linfor3D, and discuss the new challenges found when computing molecular\nfeatures in 3D.\n
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Molecular features such as the G-band, CN-band and NH-band are important\ndiagnostics for measuring a star's carbon and nitrogen abundances, especially\nin metal-poor stars where atomic lines are no longer visible in stellar\nspectra. Unlike atomic transitions, molecular features tend to form in bands,\nwhich cover large wavelength regions in a spectrum. While it is a trivial\nmatter to compute carbon and nitrogen molecular bands under the assumption of\n1D, it is extremely time consuming in 3D. In this contribution to the 2016\nCO5BOLD workshop we review the improvements made to the 3D spectral synthesis\ncode Linfor3D, and discuss the new challenges found when computing molecular\nfeatures in 3D.\n
Key concepts: Stars, Spectral line, Molecular spectroscopy, Nitrogen, Carbon fibers, Physics, Spectroscopy, Astrophysics