Speaker
Description
At CERN, B-train systems provide critical magnetic field feedback to the RF and other subsystems, based on real-time measurements combining flux loop integration with field markers in reference magnets. The six existing systems are quite reliable, each having caused on average less than 3 beam hours lost per year during the current machine run. However, improving the robustness of the measurement is always desirable since accurate absolute knowledge of the magnetic field can help diagnose a variety of beam instabilities in operation.
In this contribution, we describe algorithms to monitor crucial magnet and instrumentation parameters, along with their software implementation. By comparing measurements with historical data, model-based expectations, and redundant acquisition chains, we can assess internal errors due e.g. to integrator drift or field marker degradation, apply the necessary corrections, or flag systems for intervention. These improvements are currently being tested and are expected to enhance system reliability and compliance with evolving operational standards, also in view of future large-scale applications requiring automated self-diagnostics and remote maintenance.
| In which format do you inted to submit your paper? | LaTeX |
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| Preprint marking on your proceeding paper | I wish my paper to be marked as preprint. |