Estimating stellar fundamental parameters using PCA: application to early type stars of GES data

2015/08/17 by W. Farah, M. Gebran, Farah, W. +5
Physics and Astronomy · #FOS: Physical sciences #Solar and Stellar Astrophysics (astro-ph.SR) #astro-ph.SR

paper · pdf · doi:10.48550/arxiv.1508.03978

4 pages, 2 figures, SF2A 2015

arxiv created 2015/08/17 · arxiv updated 2015/08/18

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.

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