Creating and using large grids of precalculated model atmospheres for a rapid analysis of stellar spectra

J. Zsargó, C. R. Fierro-Santillán, J. Klapp, A. Arrieta, L. Arias, J. M. Valencia, L. Di G. Sigalotti, M. Hareter, R. E. Puebla

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Aims. We present a database of 43 340 atmospheric models (∼80 000 models at the conclusion of the project) for stars with stellar masses between 9 and 120 M, covering the region of the OB main-sequence and Wolf-Rayet stars in the Hertzsprung-Russell diagram. Methods. The models were calculated using the ABACUS I supercomputer and the stellar atmosphere code CMFGEN. Results. The parameter space has six dimensions: the effective temperature Teff the luminosity L, the metallicity Z, and three stellar wind parameters: the exponent β, the terminal velocity V∞, and the volume filling factor F. For each model, we also calculate synthetic spectra in the UV (900-2000 Å), optical (3500-7000 Å), and near-IR (10 000-40 000 Å) regions. To facilitate comparison with observations, the synthetic spectra can be rotationally broadened using ROTIN3, by covering v sin i velocities between 10 and 350 km s with steps of 10 km s. Conclusions. We also present the results of the reanalysis of ϵ Ori using our grid to demonstrate the benefits of databases of precalculated models. Our analysis succeeded in reproducing the best-fit parameter ranges of the original study, although our results favor the higher end of the mass-loss range and a lower level of clumping. Our results indirectly suggest that the resonance lines in the UV range are strongly affected by the velocity-space porosity, as has been suggested by recent theoretical calculations and numerical simulations.

Translated title of the contributionCreación y uso de grandes cuadrículas de atmósferas modelo precalculadas para un análisis rápido de espectros estelares
Original languageEnglish
Article numberA88
JournalAstronomy and Astrophysics
Volume643
DOIs
StatePublished - 1 Nov 2020

Keywords

  • Methods: data analysis
  • Miscellaneous
  • Stars: atmospheres

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