oai:arXiv.org:2411.15342
sciences: astrophysics
2024
11/27/2024
We present tonalli, a spectroscopic analysis python code that efficiently predicts effective temperature, stellar surface gravity, metallicity, $\alpha$-element abundance, and rotational and radial velocities for stars with effective temperatures between 3200 and 6250 K, observed with the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2).
tonalli implements an asexual genetic algorithm to optimise the finding of the best comparison between a target spectrum and the continuum-normalised synthetic spectra library from the Model Atmospheres with a Radiative and Convective Scheme (MARCS), which is interpolated in each generation.
Using simulated observed spectra and the APOGEE-2 solar spectrum of Vesta, we study the performance, limitations, accuracy and precision of our tool.
Finally, a Monte Carlo realisation was implemented to estimate the uncertainties of each derived stellar parameter.
The ad hoc continuum-normalised library is publicly available on Zenodo (DOI 10.5281/zenodo.12736546).
;Comment: 35 pages, 22 figures.
Accepted to RASTI.
Supplemental continuum-normalised library available at: 10.5281/zenodo.12736546
Adame, Lucía,Román-Zúñiga, Carlos,Hernández, Jesús,López-Valdivia, Ricardo,Sánchez, Edilberto, 2024, tonalli: an asexual genetic code to characterise APOGEE-2 stellar spectra. I. Validation with synthetic and solar spectra