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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. Artificial Intelligence in Astronomy, Germany.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/131765/
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:July 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Mchine Learning, Exoplanets, Transiting Exoplanets
Event Title:Artificial Intelligence in Astronomy
Event Location:Germany
Event Type:international Conference
Organizer:ESO
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 09:51
Last Modified:02 Dec 2019 09:51

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