Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Fierro Santillán, Celia"'
In this paper, we present a deep learning system approach to estimating luminosity, effective temperature, and surface gravity of O-type stars using the optical region of the stellar spectra. In previous work, we compare a set of machine learning and
Externí odkaz:
http://arxiv.org/abs/2210.12791
Autor:
Zsargó, Janos, Fierro-Santillán, Celia Rosa, Klapp, Jaime, Arrieta, Anabel, Arias, Lorena, Valencia, Jurij Mendoza, Sigalotti, Leonardo Di G.
Publikováno v:
Supercomputing 2019, Ed. M. Torres y J. Klapp, Communications in Computer and Information Science, 1151 (2019), 227-236
We present a database of 45,000 atmospheric models (which will become 80,000 models by the end of the project) with stellar masses between 9 and 120 M$_{\odot}$, covering the region of the OB main sequence and W-R stars in the H-R diagram. The models
Externí odkaz:
http://arxiv.org/abs/2107.14430
Publikováno v:
International Conference on Supercomputing in Mexico, Springer, Cham, 2019. p. 163-170
In order to measure automatically the equivalent width of the Balmer lines in a database of 40,000 atmosphere models, we have developed a program that mimics the work of an astronomer in terms of identifying and eliminating secondary spectral lines m
Externí odkaz:
http://arxiv.org/abs/2107.13113
The growth of sky surveys and the large amount of stellar spectra in the current databases, has generated the necessity of developing new methods to estimate atmospheric parameters, a fundamental task on stellar research. In this work we present a co
Externí odkaz:
http://arxiv.org/abs/2105.07110
Autor:
Klapp, Jaime1 jaime.klapp@inin.gob.mx, Rosa Fierro-Santillán, Celia2 celiarosa.fierro@cch.unam.mx, Sigalotti, Leonardo Di G.3 leonardo.sigalotti@gmail.com
Publikováno v:
Ciencia Ergo Sum. 2024, Vol. 31, p1-8. 8p.
Autor:
Fierro-Santillán, Celia R., Zsargó, Janos, Klapp, Jaime, Díaz-Azuara, Santiago A., Arrieta, Anabel, Arias, Lorena, Sigalotti, Leonardo Di G.
In this paper we describe the FIT\textit{spec} code, a data mining tool for the automatic fitting of synthetic stellar spectra. The program uses a database of 27\,000 {\sc cmfgen} models of stellar atmospheres arranged in a six-dimensional (6D) space
Externí odkaz:
http://arxiv.org/abs/1804.00089
Publikováno v:
ASP Conference Series; 2024, Vol. 535, p83-86, 4p
Autor:
Arrieta, Anabel, Payen-Sandoval, Agustín, Arias, Lorena, Zsargo, Janos, Fierro-Santillán, Celia, Klapp, Jaime
Publikováno v:
Proceedings of the International Astronomical Union; May2024, Vol. 18 Issue S361, p179-181, 3p
Akademický článek
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Autor:
Arrieta, Anabel, Payen-Sandoval, Agustín, Arias, Lorena, Zsargo, Janos, Fierro-Santillán, Celia, Klapp, Jaime
Publikováno v:
Proceedings of the International Astronomical Union; May2022, Vol. 18 Issue S361, p179-181, 3p