Carfacterización de redes estelares
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Tecnológica Nacional
Abstract
El presente trabajo expone los resultados obtenidos a partir del pre procesamiento, estructuración y posterior análisis de datos astronómicos a los fines de generar una red de datos asociados a observaciones de estrellas en galaxias cercanas, más específicamente en las Nubes de Magallanes a fin de caracterizar dicha estructura y comprobar sus similitudes y diferencias con respecto a una estructura conocida y ampliamente analizada denominada "Redes de Mundo Pequeño", estructura que reviste una especial importancia a la hora de seleccionar algoritmos de detección de comunidades, los cuales funcionan de manera particularmente eficiente cuando el grafo subyacente presenta una estructura de “Mundo Pequeño”. Se presentan todos los pasos previos de adecuación y estandarización de datos, los filtros aplicados para eliminar información redundante o innecesaria, la determinación de atributos y datos relacionables, la construcción del grafo subyacente y el posterior análisis del mismo. Por último, se exponen las conclusiones obtenidas y los próximos pasos a seguir en la investigación.
This paper presents the results obtained from the pre-processing, structuring and subsequent analysis of astronomical data in order to generate a data network associated with observations of stars in nearby galaxies, more specifically in the Magellanic Clouds, in order to characterize said structure and check its similarities and differences with respect to a known and widely analyzed structure called "Small World Networks", a structure that is of special importance when selecting community detection algorithms, which work particularly efficiently when the underlying graph has a "Small World" structure. All the previous steps of data adaptation and standardization are presented, the filters applied to eliminate redundant or unnecessary information, the determination of attributes and relatable data, the construction of the underlying graph and its subsequent analysis. Finally, the conclusions obtained and the next steps to follow in the research are presented.
This paper presents the results obtained from the pre-processing, structuring and subsequent analysis of astronomical data in order to generate a data network associated with observations of stars in nearby galaxies, more specifically in the Magellanic Clouds, in order to characterize said structure and check its similarities and differences with respect to a known and widely analyzed structure called "Small World Networks", a structure that is of special importance when selecting community detection algorithms, which work particularly efficiently when the underlying graph has a "Small World" structure. All the previous steps of data adaptation and standardization are presented, the filters applied to eliminate redundant or unnecessary information, the determination of attributes and relatable data, the construction of the underlying graph and its subsequent analysis. Finally, the conclusions obtained and the next steps to follow in the research are presented.
Description
Keywords
Patrón, Clúster, Estructura de red, Mundo pequeño, Grafo, Analítica, Pattern, Network structure, Small world, Graph, Analytics
Citation
7mas Jornadas de Estudiantes de Doctorado UTN.2024
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