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  An automated sawtooth detection algorithm for strongly varying plasma conditions and crash characteristics

Gude, A., Maraschek, M., Kardaun, O., & ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society (2017). An automated sawtooth detection algorithm for strongly varying plasma conditions and crash characteristics. Plasma Physics and Controlled Fusion, 59: 095009. doi:10.1088/1361-6587/aa79d8.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-A64F-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-52C4-2
Genre: Journal Article

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 Creators:
Gude, A.1, Author           
Maraschek, M.1, Author           
Kardaun, O.2, Author           
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856321              
2Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309              

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Language(s): eng - English
 Dates: 20172017
 Publication Status: Issued
 Pages: 14 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1361-6587/aa79d8
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Project name : Euratom Research and Training Programme 2014-2018 – EUROfusion
Grant ID : 633053
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Plasma Physics and Controlled Fusion
Source Genre: Journal
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Publ. Info: Bristol : IOP Publishing
Pages: - Volume / Issue: 59 Sequence Number: 095009 Start / End Page: - Identifier: ISSN: 1361-6587
CoNE: https://pure.mpg.de/cone/journals/resource/954925539167