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, 2019-07-22 - 2019-07-26, Germany.

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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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Chaushev, Alexander	Center for Astronomy and Astrophysics, TU Berlin, Hardenbergstr. 36, 10623 Berlin, GermanyCenter for Astronomy and Astrophysics, TU Berlin, Germany	UNSPECIFIED	UNSPECIFIED
Eigmüller, Philipp	UNSPECIFIED	https://orcid.org/0000-0003-4096-0594	UNSPECIFIED
NGTS, Consortium	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

July 2019

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Mchine Learning, Exoplanets, Transiting Exoplanets

Event Title:

Artificial Intelligence in Astronomy

Event Location:

Germany

Event Type:

international Conference

Event Start Date:

22 July 2019

Event End Date:

26 July 2019

Organizer:

ESO

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 (old)

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:

18 Jun 2024 14:55

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