Speaker
Description
The Liverpool Centre for Doctoral Training for Innovation in Data Intensive Science (LIV.INNO) continues to make significant progress in developing precision diagnostics for accelerator facilities. This contribution presents recent results from four projects that collectively demonstrate how data-intensive methods, advanced modelling and modern instrumentation can enhance measurements under challenging conditions.
It will be shown how detailed studies into detector dead time, after-pulsing and timing for the LHC Longitudinal Density Monitor provide quantified error budgets and mitigation strategies that improve satellite and ghost bunch measurements; how a comprehensive evaluation of multimode-fiber imaging techniques offers practical guidance on model selection, robustness and achievable accuracy for radiation-tolerant transverse profile diagnostics; how measurements of optical transition radiation (OTR) from low-energy electrons can be used to establish clear dependencies on target roughness and incidence angle, and how this allows experiment optimization; how the LHC Beam Gas Curtain has developed into a reliable, minimally invasive beam monitor, used for monitor calibration and machine optimization.
In addition, this contribution will also give an overview of the comprehensive LIV.INNO training, its recent and forthcoming events, and show how structured skills development and collaboration across science, healthcare, industry and sustainability drive innovation.
Funding Agency
This work was supported by the Science and Technology Facilities Council (STFC) under grant agreement ST/W006766/1.
| In which format do you inted to submit your paper? | Word |
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