4565089
doi
10.5281/zenodo.4565089
oai:zenodo.org:4565089
user-coolstars20half
D. Montes
Universidad Complutense de Madrid
E. Marfil
Universidad Complutense de Madrid
J. I. González Hernández
Instituto de Astrofísica de Canarias
A tale of two stellar characterisation codes: StePar and SteParSyn
H. M. Tabernero
Centro de Astrobiología
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Cool Stars on the main sequence
Post main sequence cool stars
<p>We report on two state-of-the-art codes designed to characterise the spectra of late-type stars. STEPAR is a Python 3.X code that implements the EW method to calculate stellar atmospheric parameters (Teff, log(g), and [Fe/H]) of FGK stars. This code has already been extensively used to analyse high-resolution stellar spectra of thousands of Gaia-ESO Survey stars, among others. On the other hand, STEPARSYN is a Bayesian code designed to retrieve the distribution of stellar parameters of an observed spectrum using the spectral synthesis method combined with a robust scheme that rests on a Markov Chain Monte Carlo sampler.</p>
Zenodo
2021-02-26
info:eu-repo/semantics/conferencePoster
4565088
user-coolstars20half
1.5
1614385634.600166
504840
md5:5160fb18f5cffbfbee00a36667f09286
https://zenodo.org/records/4565089/files/poster_cool_htg.pdf
public
10.5281/zenodo.4565088
isVersionOf
doi