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Astronomers create tool to study composition of stars.

Open source program was released for use. The scientific achievement was published in the journal Monthly Notices of the Royal Astronomical Society.

Did you know that stars like our Sun also have an atmosphere? Part of its surface structure and the only one visible, including among its components the solar corona, the outermost layer that can only be seen during total eclipses of the Sun. Now, thanks to a new tool developed by scientists at the Center for Astrophysics and Related Technologies (CATA) belonging to the University of Chile and Diego Portales University, scientists will be able to easily study the atmospheres of other stars in the galaxy.

It is an open source program called ARIADNE (“Spectral Energy Distribution Adjuster using Bayesian Model Averaging”), capable of modeling star atmospheres automatically, a technique that has not been widely used so far in astronomy, but which has been heavily employed in areas such as climatology. The technique will not only allow the study of stars where planetary systems have been discovered, but also has potential for application in areas such as medicine and the social sciences.

The research, whose results were published in the journal Monthly Notices of the Royal Astronomical Society, began to be developed in 2019 by José Vines, PhD student in Sciences mention in Astronomy at the University of Chile and lead author of the work, with the collaboration of the astronomer of the Diego Portales University, James Jenkins, who helped to refine the interpretation of the results. “This program makes it possible to obtain very important stellar parameters such as the temperature of the star, its distance and size, among others, all with very high precision,” explains José Vines.

ARIADNE will also provide in-depth knowledge of details such as the evolution of a star, information that is essential for the study of exoplanets discovered in other solar systems. “With this tool we will be able to perform a uniform analysis of stars, especially those where we have already found planets. It will also be useful in theoretical astrophysics, to develop and refine models of stars’ atmospheres,” adds Vines.

The research also concludes that the statistical technique used could have a potential use in different areas and industries, such as social sciences or medicine. In the latter case, for example, the model would make it possible to link a health problem such as infectious outbreaks with other external variables that may have an impact on its spread, beyond the medical characteristics of a disease that facilitate its transmission. To see the original article published in Monthly Notices of Royal Astronomical Society, check the following link.