Ref: ASTROimport-847

Estimating Stellar Fundamental Parameters Using PCA: Application to Early Type Stars of GES Data

Farah, W. ; Gebran, M. ; Paletou, F. ; Blomme, R.

published in SF2A-2015: Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics, pp. 3-6 (2015)

Abstract: This work addresses a procedure to estimate fundamental stellar parameters such as T_{eff}, log g, [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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The record appears in these collections:
Royal Observatory of Belgium > Astronomy & Astrophysics
Science Articles > Non-refereed Articles

 Record created 2016-07-01, last modified 2016-07-01