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Application Of Machine Learning Methods to detrend Photometric Data from Exoplanet Transit Surveys

Hu, Patrick (2021) Application Of Machine Learning Methods to detrend Photometric Data from Exoplanet Transit Surveys. Master's, Technical University of Berlin.

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Abstract

This thesis will be questioning about the pertinence of a neural network in the fast analysis of the future data. High variabilities in the light curves of young stars can make the search for young exoplanets difficult, it represents therefore a perfect challenge to be tackled with the help of machine learning. We would like to use machine learning methods, particularly neural networks, on the problem of detecting transiting planets around young variable stars. Machine learning methods are nowadays very popular tools to work with time series and images, and have shown promising results and their capabilities in countless domains. Finally, machine learning relies on a heavy quantity of data and the field of exoplanet search has plenty to offer with successful satellite missions like TESS and Kepler, and in the future with PLATO, that alone represents a perfect motivation of the application of neural networks on the search on young planets around young stars.

Item URL in elib:https://elib.dlr.de/148038/
Document Type:Thesis (Master's)
Title:Application Of Machine Learning Methods to detrend Photometric Data from Exoplanet Transit Surveys
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hu, PatrickTechnical University of Berlin Institute of Astrophysics Hardenbergstrasse 36 10623 BerlinUNSPECIFIED
Date:2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:extrasolar planets, machine learning
Institution:Technical University of Berlin
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - Project PLATO - PMC and Science
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Extrasolar Planets and Atmospheres
Deposited By: Cabrera Perez, Juan
Deposited On:07 Jan 2022 08:55
Last Modified:07 Jan 2022 08:55

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