Estimating stellar fundamental parameters using PCA: application to early type stars of GES data
Solar and Stellar Astrophysics
2015-08-18 v1
Abstract
This work addresses a procedure to estimate fundamental stellar parameters such as T eff , logg, [Fe/H], and v sin i using a dimensionality reduction technique called Principal Component Analysis (PCA), applied to a large database of synthetic spectra. This technique shows promising results for inverting stellar parameters of observed targets from Gaia ESO Survey.
Keywords
Cite
@article{arxiv.1508.03978,
title = {Estimating stellar fundamental parameters using PCA: application to early type stars of GES data},
author = {W. Farah and M. Gebran and F. Paletou and R. Blomme},
journal= {arXiv preprint arXiv:1508.03978},
year = {2015}
}
Comments
4 pages, 2 figures, SF2A 2015