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Title: tonalli : an asexual genetic code to characterize APOGEE-2 stellar spectra. I. Validation with synthetic and solar spectra

Journal Article · · RAS Techniques and Instruments

ABSTRACT 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 optimize the finding of the best comparison between a target spectrum and the continuum-normalized 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 realization was implemented to estimate the uncertainties of each derived stellar parameter.

Sponsoring Organization:
USDOE
OSTI ID:
2480963
Journal Information:
RAS Techniques and Instruments, Journal Name: RAS Techniques and Instruments Journal Issue: 1 Vol. 3; ISSN 2752-8200
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
Country unknown/Code not available
Language:
English

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