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Classifying Exoplanet Candidates with Convolutional Neural Networks: Application to the Next Generation Transit Survey

Chaushev, Alexander and Eigmüller, Philipp and NGTS, Consortium (2019) Classifying Exoplanet Candidates with Convolutional Neural Networks: Application to the Next Generation Transit Survey. European Week of Astronomy and Space Science, Lyon, Frankreich.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/131766/
Document Type:Conference or Workshop Item (Speech)
Title:Classifying Exoplanet Candidates with Convolutional Neural Networks: Application to the Next Generation Transit Survey
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Chaushev, AlexanderCenter for Astronomy and Astrophysics, TU Berlin, Hardenbergstr. 36, 10623 Berlin, GermanyCenter for Astronomy and Astrophysics, TU Berlin, GermanyUNSPECIFIED
Eigmüller, PhilippPhilipp.Eigmueller (at) dlr.dehttps://orcid.org/0000-0003-4096-0594
NGTS, ConsortiumUNSPECIFIEDUNSPECIFIED
Date:24 June 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Machine learning, Exoplanets, Transiting exoplanets
Event Title:European Week of Astronomy and Space Science
Event Location:Lyon, Frankreich
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Science and Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Erforschung des Weltraums
DLR - Research theme (Project):R - Project PLATO
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Extrasolar Planets and Atmospheres
Deposited By: Eigmüller, Dr. Philipp
Deposited On:02 Dec 2019 11:01
Last Modified:02 Dec 2019 11:01

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