Sliced Inverse Regression: application to fundamental stellar parameters

Sliced Inverse Regression: application to fundamental stellar parameters

We present a method for deriving the stellar fundamental parameters. It is based on a regularized sliced inverse regression (RSIR).We first tested it on noisy synthetic spectra of A, F, G, and K-type stars, and inverted simultaneously their atmospheric fundamental parameters: Teff., log g, [M/H] and...

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Bibliographic Details
Main Authors: Kassounian Sarkis, Gebran Marwan, Paletou Frédéric, Watson Victor
Format: Article
Language:English
Published: De Gruyter 2019-05-01
Series:Open Astronomy
Subjects:
methods: data analysis
methods: statistical
techniques: spectroscopic
stars: fundamental parameters
Online Access:https://doi.org/10.1515/astro-2019-0006

Internet

https://doi.org/10.1515/astro-2019-0006

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