| Paper | Title | Other Keywords | Page |
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| TUPOST043 | A Novel Method for Detecting Unidentified Falling Object Loss Patterns in the LHC | operation, network, ECR, machine-protect | 953 |
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| 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 | ||
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | ||
| THPOPT037 | Ceramics Evaluation for MW-Power Coaxial Windows, Operating in UHF Frequency Range | vacuum, electron, multipactoring, cavity | 2668 |
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Funding: This work was supported by the U.S. Department of Energy, Office of Basic Energy Science, under SBIR grant DE- SC0021552 Modern accelerator facilities require reliable high-power RF components. The RF vacuum window is a critical part of the waveguide couplers to the accelerating cavities. It is the point where the RF feed crosses the vacuum boundary and thus forms part of the confinement barrier. RF windows must be designed to have low power dissipation inside their ceramic, be resistant to mechanical stresses, and free of discharges. In this paper, we report on the evaluation of three different ceramic candidates for high power RF windows. These materials have low loss tangents, low secondary electron yield (SEY), and large thermal expansion coefficients. The acquired materials were inspected, coated, and measured to select the optimal set. |
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| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-THPOPT037 | ||
| About • | Received ※ 01 June 2022 — Revised ※ 10 June 2022 — Accepted ※ 14 June 2022 — Issue date ※ 04 July 2022 | ||
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | ||
| THPOMS010 | Heating and Beam Impact of High Intensity Exit Windows for FLASHlab@PITZ | electron, radiation, scattering, simulation | 2958 |
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| The high-brightness electron beam at the Photo Injector Test facility at DESY in Zeuthen (PITZ) is being prepared for use in dosimetry experiments and for the study of biological effects in thin samples. This is part of the preparations for FLASHlab@PITZ which is going to be an R&D platform for FLASH and VHEE radiation therapy and radiation biology. These studies require precise information on the electron beam parameters downstream of the exit window, such as the scattering angle and the energy spectrum of the particles as well as the thermal load on the exit window. A Titanium window is compared with a DESY Graphite window design. Heat deposition in the window by a single 22MeV / 1nC electron bunch of various size, its scattering and energy spectrum due to passage through the window are calculated by means of the Monte Carlo program FLUKA. Time resolved temperature profiles, as generated by the passage of 1ms long electron pulse trains with up to 4500 single pulses, each of them between 0.1 and 60ps long, are calculated with a self-written FEM code. | |||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-THPOMS010 | ||
| About • | Received ※ 08 June 2022 — Revised ※ 13 June 2022 — Accepted ※ 15 June 2022 — Issue date ※ 30 June 2022 | ||
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | ||