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Transiting Planet Search in the Kepler Pipeline Using Automated Machine Learning

Mohan, Martin (2020) Transiting Planet Search in the Kepler Pipeline Using Automated Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Over 2,300 confirmed planets have been found outside the solar system by the Kepler mission and although data collection finished in May 2013 data cleaning and updating has continued and new exoplanets are still being discovered using this data.
This paper applied the automated machine learning tool TPOT to the most recent Kepler data release DR25. Models were trained using the Kepler Object of I nterest (KOI) table which contained 8,198 cases. These models were then used to search the Transit C rossing Event table (TCE), containing 34,032 cases for exoplanets. Using models generated by TPOT nearly one quarter of CANDIDATES from the KOI table were predicted to be confirmed planets and several new Planetary Candidates (PCs) were uncovered from the TCE table. These PCs were ordered by probability and can be used to prioritize planets for follow-up investigations.

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
Q Science > QB Astronomy
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Dan English
Date Deposited: 18 Jan 2021 14:25
Last Modified: 18 Jan 2021 14:25

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