Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

Christoph Obermair; A. Apollonio; T. Carier-Michaud; N Catalan-Lasheras; L.  Felsberger; W.L.  Millar; W. Wuensch; Franz Pernkopf

Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

Christoph Obermair, A. Apollonio, T. Carier-Michaud, N Catalan-Lasheras, L. Felsberger, W.L. Millar, W. Wuensch, Franz Pernkopf

Institute of Signal Processing and Speech Communication (4420)

Research output: Contribution to conference › Paper › peer-review

Original language	English
Publication status	Published - 2021
Event	2021 International Particle Accelarator Conference - Brazil Duration: 24 May 2021 → 28 May 2021

Conference

Conference	2021 International Particle Accelarator Conference
Period	24/05/21 → 28/05/21

Access to Document

https://accelconf.web.cern.ch/ipac2021/papers/mopab344.pdf

Cite this

@conference{2cd7fcecab334ba3a1bf02c940b77812,

title = "Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators",

author = "Christoph Obermair and A. Apollonio and T. Carier-Michaud and N Catalan-Lasheras and L. Felsberger and W.L. Millar and W. Wuensch and Franz Pernkopf",

year = "2021",

language = "English",

note = "2021 International Particle Accelarator Conference ; Conference date: 24-05-2021 Through 28-05-2021",

}

TY - CONF

T1 - Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

AU - Obermair, Christoph

AU - Apollonio, A.

AU - Carier-Michaud, T.

AU - Catalan-Lasheras, N

AU - Felsberger, L.

AU - Millar, W.L.

AU - Wuensch, W.

AU - Pernkopf, Franz

PY - 2021

Y1 - 2021

M3 - Paper

T2 - 2021 International Particle Accelarator Conference

Y2 - 24 May 2021 through 28 May 2021

ER -