Author: Pieloni, T.
Paper Title Page
TUPOST043 A Novel Method for Detecting Unidentified Falling Object Loss Patterns in the LHC 953
SUSPMF100   use link to see paper's listing under its alternate paper code  
 
  • L. Coyle, F. Blanc, D. Di Croce, T. Pieloni
    EPFL, Lausanne, Switzerland
  • L. Coyle, A. Lechner, D. Mirarchi, M. Solfaroli Camillocci, J. Wenninger
    CERN, Meyrin, Switzerland
 
  Understanding and mitigating particle losses in the Large Hadron Collider (LHC) is essential for both machine safety and efficient operation. Abnormal loss distributions are telltale signs of abnormal beam behaviour or incorrect machine configuration. By leveraging the advancements made in the field of Machine Learning, a novel data-driven method of detecting anomalous loss distributions during machine operation has been developed. A neural network anomaly detection model was trained to detect Unidentified Falling Object events using stable beam, Beam Loss Monitor (BLM) data acquired during the operation of the LHC. Data-driven models, such as the one presented, could lead to significant improvements in the autonomous labelling of abnormal loss distributions, ultimately bolstering the ever ongoing effort toward improving the understanding and mitigation of these events.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOST043  
About • Received ※ 19 May 2022 — Revised ※ 15 June 2022 — Accepted ※ 16 June 2022 — Issue date ※ 21 June 2022
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WEPOST016 Development of Collimation Simulations for the FCC-ee 1718
 
  • A. Abramov, R. Bruce, M. Hofer, G. Iadarola, S. Redaelli
    CERN, Meyrin, Switzerland
  • F.S. Carlier, T. Pieloni, M. Rakic
    EPFL, Lausanne, Switzerland
  • L.J. Nevay
    JAI, Egham, Surrey, United Kingdom
  • S.M. White
    ESRF, Grenoble, France
 
  A collimation system is under study for the FCC-ee to protect the machine from the multi-MJ electron and positron beams and limit the backgrounds to the detectors. One of the key aspects of the collimation system design is the setup of simulation studies combining particle tracking and scattering in the collimators. The tracking must include effects important for electron beam single-particle dynamics in the FCC-ee, such as synchrotron radiation. For collimation, an aperture model and particle-matter interactions for electrons are required. There are currently no established simulation frameworks that include all the required features. The latest developments of an integrated framework for multi-turn collimation studies in the FCC-ee are presented. The framework is based on an interface between tracking codes, pyAT and Xtrack, and a particle-matter interaction code, BDSIM, based on Geant4. Promising alternative simulation codes and frameworks are also discussed. The challenges are outlined, and the first results are presented, including preliminary loss maps for the FCC-ee.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-WEPOST016  
About • Received ※ 07 June 2022 — Revised ※ 14 June 2022 — Accepted ※ 16 June 2022 — Issue date ※ 29 June 2022
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WEPOST017 Design of a Collimation Section for the FCC-ee 1722
 
  • M. Hofer, A. Abramov, R. Bruce, K. Oide, F. Zimmermann
    CERN, Meyrin, Switzerland
  • M. Moudgalya, T. Pieloni
    EPFL, Lausanne, Switzerland
  • K. Oide
    KEK, Ibaraki, Japan
 
  The design parameters of the FCC-ee foresee operation with a total stored beam energy of about 20 MJ, exceeding those of previous lepton colliders by almost two orders of magnitude. Given the inherent damage potential, a halo collimation system is studied to protect the machine hardware, in particular superconducting equipment such as the final focus quadrupoles, from sudden beam loss. The different constraints that led to dedicating one straight section to collimation will be outlined. In addition, a preliminary layout and optics for a collimation insertion are presented.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-WEPOST017  
About • Received ※ 07 June 2022 — Revised ※ 14 June 2022 — Accepted ※ 16 June 2022 — Issue date ※ 25 June 2022
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