In this paper we describe the FITspec code, a data mining tool for the automatic fitting of synthetic stellar spectra. The program uses a database of 27 000 cmfgen models of stellar atmospheres arranged in a six-dimensional (6D) space, where each dimension corresponds to one model parameter. From these models a library of 2 835 000 synthetic spectra were generated covering the ultraviolet, optical, and infrared region of the electromagnetic spectrum. Using FITspec we adjust the effective temperature and the surface gravity. From the 6D array we also get the luminosity, the metallicity, and three parameters for the stellar wind: the terminal velocity (v ∞ ), the β exponent of the velocity law, and the clumping filling factor (F cl ). Finally, the projected rotational velocity (v · sin i) can be obtained from the library of stellar spectra. Validation of the algorithm was performed by analyzing the spectra of a sample of eight O-type stars taken from the iacob spectroscopic survey of Northern Galactic OB stars. The spectral lines used for the adjustment of the analyzed stars are reproduced with good accuracy. In particular, the effective temperatures calculated with the FITspec are in good agreement with those derived from spectral type and other calibrations for the same stars. The stellar luminosities and projected rotational velocities are also in arXiv:1804.00089v1 [astro-ph.SR] 31 Mar 2018 -2good agreement with previous quantitative spectroscopic analyses in the literature. An important advantage of FITspec over traditional codes is that the time required for spectral analyses is reduced from months to a few hours.
El presente artículo tiene como objetivo subsanar el vacío existente en la literatura en torno al concepto de eustrés académico. Se realizó una investigación documental, usando como metodología la cartografía conceptual. Se propone una definición del concepto eustrés académico desde el enfoque socioformativo, exponiendo sus principales características. Se plantea una metodología para llevar a los estudiantes a un estado de eustrés académico, el cual les permita desarrollar sus competencias académicas, emocionales y socioformativas con el fin de que logren una respuesta positiva ante los principales estresores académicos, percibiéndolos como un estímulo y un reto más que como una amenaza.
We present a tool for analysis and fit of stellar spectra using a mega database of 15,000 atmosphere models for OB stars. We have developed software tools, which allow us to find the model that best fits to an observed spectrum, comparing equivalent widths and line ratios in the observed spectrum with all models of the database. We use the Hα, Hβ, Hγ, and Hδ lines as criterion of stellar gravity and ratios of He II λ4541/He I λ4471, He II λ4200/(He I+He II λ4026), He II λ4541/He I λ4387, and He II λ4200/He I λ4144 as criterion of Teff.
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