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Vol. 1 No. 2E (2022)
Núm. 2E (2022): Número Especial: VII Congreso de Astronomía y Astrofísica 2022

Artículos de investigación / Research papers

Optimized Fuzzy System for automatic detection of planetary transits in light curves of individual stars

https://doi.org/10.19053/01217488.v1.n2E.2022.15136

Published 2022-12-12

  • Christian Leonardo Muñoz Cardenas
    • ,
  • David Santiago Gómez Lozano
    • ,
  • Cristian Marquez
    • ,
  • Edilberto Suarez Torres
    • ,
  • Maykol Camilo Delgado Correal

Christian Leonardo Muñoz Cardenas
a:1:{s:5:"es_ES";s:47:"Universidad Distrital Francisco José de Caldas";}

David Santiago Gómez Lozano
Universidad Distrital Francisco José de Caldas

Cristian Marquez
Elemy

Edilberto Suarez Torres
Universidad Distrital Francisco José de Caldas

Maykol Camilo Delgado Correal
Universidad Distrital Francisco José de Caldas

Abstract

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.

Keywords

Computational intelligence, Extrasolar planets, Fuzzy logic, Global Optimization, Light curves, Transit method

PDF (Español)

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