1–6 Jun 2025
Taipei International Convention Center (TICC)
Asia/Taipei timezone

Virtual temperature measurements of ferrite in in-vacuum kicker magnets

THPM008
5 Jun 2025, 15:30
2h
Exhibiton Hall A _Magpie (TWTC)

Exhibiton Hall A _Magpie

TWTC

Poster Presentation MC6.D13 Machine Learning Thursday Poster Session

Speaker

Francisco Huhn (European Organization for Nuclear Research)

Description

The Large Hadron Collider (LHC) Injector Upgrade project has achieved unprecedented beam brightness levels, to fulfill the High Luminosity LHC requirements. This higher intensity has introduced significant challenges for some of the Super Proton Synchrotron (SPS) kickers, specifically concerning beam-induced heating and vacuum rise due to electron cloud.
The primary concern is the integrity of the ferrite within the kicker magnets, which is critical to the system's operation and availability. Currently, temperature monitoring relies on temperature probes (PT100) installed on the magnet's frame, but these do not provide direct measurements of ferrite temperature. To address this limitation, we present a method using deep learning techniques to develop a virtual temperature sensor, enabling real-time monitoring of ferrite temperatures across the kicker module. We apply this approach to some of the SPS injection kicker family, the so-called MKP-S, and discuss the general applicability of the method to other systems.

Region represented Europe
Paper preparation format LaTeX

Author

Francesco Velotti (European Organization for Nuclear Research)

Co-authors

Francisco Huhn (European Organization for Nuclear Research) Giorgia Favia (European Organization for Nuclear Research) KLEANTHIS RAGKOUSIS (European Organization for Nuclear Research) Miguel Diaz Zumel (European Organization for Nuclear Research) Pavlina Trubacova (European Organization for Nuclear Research)

Presentation materials

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