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| Paper: |
Spectral Analysis of B Stars: An Application of Bayesian Statistics |
| Volume: |
465, Four Decades of Massive Star Research - A Scientific Meeting in Honor of Anthony J. Moffat |
| Page: |
256 |
| Authors: |
Mugnes, J.-M.; Robert, C. |
| Abstract: |
To better understand the processes involved in stellar physics, it is necessary to
obtain accurate stellar parameters (effective temperature, surface gravity, abundances…).
Spectral analysis is a powerful tool for investigating
stars, but it is also vital to reduce uncertainties at a decent computational cost.
Here we present a spectral analysis method based on a
combination of Bayesian statistics and grids of synthetic spectra obtained with TLUSTY.
This method simultaneously constrains the stellar
parameters by using all the lines accessible in observed spectra and thus greatly
reduces uncertainties and improves the overall spectrum fitting.
Preliminary results are shown using spectra from the Observatoire du Mont-Mégantic. |
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