Una aplicación estadística de los métodos de clasificación en astronomía
A statistical application of classification methods in astronomy
Abstract (en)
In recent years, advances in astrophysics and cosmology have been guided by large and complex data sets, which can only be analyzed and interpreted with the use of highly refined statistical methods. This has caused these disciplines complement each other forming a research field known as astrostatistics. In this paper we provide a classification method based on Gaussian mixture models. This method is used to find stars that belong to the Hyades cluster using 2678 stars sampling from the Hipparcos database. We make a brief description of characteristics of the cluster and we explore the evidence of outliers. With this method it is found that classification yields to three groups of which we can study the membership, and we show the agreement with literature. We also show the Hertzsprung-Russell diagram obtained for the cluster, extremely important for studies of stellar evolution. Finally, the third group found is analyzed through filters considered from classification rules and other statistical methods, for determining the membership of the stars in the Hyades cluster.
Abstract (es)
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