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

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

astro-ph.SR2024

Deep Learning application for stellar parameters determination: III- Denoising Procedure

Marwan Gebran, Ian Bentley, Rose Brienza +1

In this third paper in a series, we investigate the need of spectra denoising for the derivation of stellar parameters. We have used two distinct datasets for this work. The first…

astro-ph.SR2015★ 1 cited

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

W. Farah, M. Gebran, F. Paletou +1

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 Com…