Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars
The transit method is an effective way to find extrasolar planets. This method is based on the shallow decrease that a planet causes in its host star’s apparent brightness: when the planet passes through our line of sight, it affects the brightness we receive from the star with our telescopes. Ho...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | spa |
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Universidad Pedagógica y Tecnológica de Colombia
2022
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| Online Access: | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/15136 |
| _version_ | 1801706356569276416 |
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| author | Muñoz Cardenas, Christian Leonardo Gómez Lozano, David Santiago Marquez, Cristian Suarez Torres, Edilberto Delgado Correal, Maykol Camilo |
| author_facet | Muñoz Cardenas, Christian Leonardo Gómez Lozano, David Santiago Marquez, Cristian Suarez Torres, Edilberto Delgado Correal, Maykol Camilo |
| author_sort | Muñoz Cardenas, Christian Leonardo |
| collection | OJS |
| description |
The transit method is an effective way to find extrasolar planets. This method is based on the shallow decrease that a planet causes in its host star’s apparent brightness: when the planet passes through our line of sight, it affects the brightness we receive from the star with our telescopes. However, these transit events are very close to the telescopes’ detection sensitivity limit. To confirm a planet observation, it takes at least three (3) transit events, making long-time observations of a star necessary to detect extrasolar planets that may orbit it, which results in large amounts of data to be analized. In this work we did a new software pipeline
for autonomous detection of transit traces by analyzing extracted features from stellar light curves using a fuzzy logic classifier, avoiding the task of searching for transit events in each section of the light curves. During the development process of the software pipeline, the Knowledge Discovery in Databases (KDD) methodology is implemented, which presents a way to extract knowledge from large datasets.
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| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-15136 |
| institution | Revista Ciencia en Desarrollo |
| language | spa |
| publishDate | 2022 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-151362023-03-06T15:47:08Z Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars Optimización de un sistema difuso para la detección automática de tránsitos planetarios en curvas de luz de estrellas individuales Muñoz Cardenas, Christian Leonardo Gómez Lozano, David Santiago Marquez, Cristian Suarez Torres, Edilberto Delgado Correal, Maykol Camilo Curvas de luz Inteligencia computacional Lógica Difusa Método de tránsito Optimización global Planetas extrasolares Computational intelligence Extrasolar planets Fuzzy logic Global Optimization Light curves Transit method The transit method is an effective way to find extrasolar planets. This method is based on the shallow decrease that a planet causes in its host star’s apparent brightness: when the planet passes through our line of sight, it affects the brightness we receive from the star with our telescopes. However, these transit events are very close to the telescopes’ detection sensitivity limit. To confirm a planet observation, it takes at least three (3) transit events, making long-time observations of a star necessary to detect extrasolar planets that may orbit it, which results in large amounts of data to be analized. In this work we did a new software pipeline for autonomous detection of transit traces by analyzing extracted features from stellar light curves using a fuzzy logic classifier, avoiding the task of searching for transit events in each section of the light curves. During the development process of the software pipeline, the Knowledge Discovery in Databases (KDD) methodology is implemented, which presents a way to extract knowledge from large datasets. El método de tránsito es un método efectivo para identificar planetas extrasolares, que se basa en la disminución poco profunda que provoca un planeta en el brillo aparente de su estrella anfitriona. Sin embargo, los eventos de tránsito están muy cerca del límite de la sensibilidad de detección de los telescopios y se necesitan al menos tres (3) eventos de tránsito producidos por el mismo planeta para confirmar el descubrimiento de éste, lo que hace que se requieran observaciones por tiempos prolongados de una estrella para detectar planetas extrasolares que puedan estar orbitandola, lo que resulta en grandes cantidades de datos que deben ser analizados. En este trabajo se desarrolló una nueva tuberia de software (pipeline) para la detección autónoma de rastros de tránsitos planetarios analizando características extraídas de curvas de luz estelares utilizando un clasificador de lógica difusa, evadiendo la tarea de buscar tránsitos en cada sección de las curvas de luz. Para el desarrollo de esta tuberia de software se implementó la metodologia llamada: Knowledge Discovery in Databases (KDD) la cual presenta una forma de extraer conocimiento de grandes conjuntos de datos. Universidad Pedagógica y Tecnológica de Colombia 2022-12-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion texto application/pdf https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/15136 10.19053/01217488.v1.n2E.2022.15136 Ciencia En Desarrollo; Vol. 1 No. 2E (2022): Núm. 2E (2022): Número Especial: VII Congreso de Astronomía y Astrofísica 2022; 19-35 Ciencia en Desarrollo; Vol. 1 Núm. 2E (2022): Núm. 2E (2022): Número Especial: VII Congreso de Astronomía y Astrofísica 2022; 19-35 2462-7658 0121-7488 spa https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/15136/12660 |
| spellingShingle | Curvas de luz Inteligencia computacional Lógica Difusa Método de tránsito Optimización global Planetas extrasolares Computational intelligence Extrasolar planets Fuzzy logic Global Optimization Light curves Transit method Muñoz Cardenas, Christian Leonardo Gómez Lozano, David Santiago Marquez, Cristian Suarez Torres, Edilberto Delgado Correal, Maykol Camilo Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars |
| title | Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars |
| title_alt | Optimización de un sistema difuso para la detección automática de tránsitos planetarios en curvas de luz de estrellas individuales |
| title_full | Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars |
| title_fullStr | Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars |
| title_full_unstemmed | Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars |
| title_short | Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars |
| title_sort | optimized fuzzy system for automatic detection of planetary transits in light curves of individual stars |
| topic | Curvas de luz Inteligencia computacional Lógica Difusa Método de tránsito Optimización global Planetas extrasolares Computational intelligence Extrasolar planets Fuzzy logic Global Optimization Light curves Transit method |
| topic_facet | Curvas de luz Inteligencia computacional Lógica Difusa Método de tránsito Optimización global Planetas extrasolares Computational intelligence Extrasolar planets Fuzzy logic Global Optimization Light curves Transit method |
| url | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/15136 |
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