A tale of two stellar characterisation codes: StePar and SteParSyn

Bibcode
2021csss.confE.161T
DOI
10.5281/zenodo.4565089
Tabernero, H. M.; Montes, D.; Marfil, E.; González Hernández, J. I.
Bibliographical reference

Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun

Advertised on:
3
2021
Number of authors
4
IAC number of authors
1
Citations
1
Refereed citations
1
Description
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.
Type
Non-refereed

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