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Computer vision as a powerful tool for transiting exoplanet search

Klagyivik, Peter (2021) Computer vision as a powerful tool for transiting exoplanet search. TESS Science Conference II (TSC2), 2-6 August 2021, virtual. doi: 10.5281/zenodo.5116160.

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Computer vision is a field of artificial intelligence that deals with how computers can gain understanding from digital images or videos. From another perspective, it seeks to understand and automate tasks that the human visual system can do. Computer vision tools are already in use for galaxy search and classification, or comet search. Finding transiting planet candidates looking at the photometric light curves is easy for humans, therefore they should be detectable with computer vision methods. However, first, the time-series data must be somehow encoded into 2D images. I present a pilot study of transiting planet search with computer vision using Convolutional Neural Network and its application on TESS Sector 1 short cadence light curves.

Item URL in elib:https://elib.dlr.de/146975/
Document Type:Conference or Workshop Item (Poster)
Title:Computer vision as a powerful tool for transiting exoplanet search
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Klagyivik, PeterUNSPECIFIEDhttps://orcid.org/0000-0003-0700-6176
Date:July 2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Exoplanets, Data Analysis Techniques
Event Title:TESS Science Conference II (TSC2)
Event Location:virtual
Event Type:international Conference
Event Dates:2-6 August 2021
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 - QS-Project_04 Big-Data-Plattform
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Extrasolar Planets and Atmospheres
Deposited By: Klagyivik, Peter
Deposited On:09 Dec 2021 08:09
Last Modified:09 Dec 2021 08:09

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