This project will derive astrophysical parameters from the Gaia-ESO spectra using a new bayesian approach. This approach is based on a PCA spectral emulator, a MCMC sampler and a gaussian-mixture approach. This philosophy behind this method is being recently introduced in the literature and it has been tailored to the Gaia-ESO analysis by the proponents. The aim is to introduce the results obtained by this approach in the final advanced products of the Gaia-ESO survey using priors derived by Gaia.
GESBAYES
Lanzafame A.Primo
Supervision
;Marcellino C.Formal Analysis
2020-01-01
Abstract
This project will derive astrophysical parameters from the Gaia-ESO spectra using a new bayesian approach. This approach is based on a PCA spectral emulator, a MCMC sampler and a gaussian-mixture approach. This philosophy behind this method is being recently introduced in the literature and it has been tailored to the Gaia-ESO analysis by the proponents. The aim is to introduce the results obtained by this approach in the final advanced products of the Gaia-ESO survey using priors derived by Gaia.File in questo prodotto:
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