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Detection of Exoplanets System in Kepler Light Curves using Deep learning

Jeevarathinam, Nandhavarman (2020) Detection of Exoplanets System in Kepler Light Curves using Deep learning. Masters thesis, Dublin, National College of Ireland.

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With the development made in Optical and Imaging technology, many astronomical observations were made recently. The brightness of a star over a period of a time are called light curves which are scanty, sparse and heteroscedastic. Using these huge time series data, classification task needs to be performed to label as planet candidates and false positive. In this research work, the time series extracted from the time series are transformed using recurrence plot for better pattern recognition using VGG16 Convolution architecture. Introduction of image augmentation with recurrence plot for the light curve data produces good result compared to many other researches and technologies. Main limitation in this domain is the size of the data to be processed. Using this methodology, comparatively less amount of data is used to train a model which can recognize transit planet patterns in a light curve time series data.
Keywords— Exoplanet detection, Recurrence plot, Time series classification

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Dan English
Date Deposited: 20 Jan 2021 15:45
Last Modified: 20 Jan 2021 15:45

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