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Wiki source code of HIR3X - Helmholtz Joint Lab

Last modified by Jan Bürger on 2025/03/26 12:23
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1 Work Packages: Machine learning, High-throughput data handling and vetoing, Automated and robotic sample delivery for high-throughput experiments, High-performance X-ray optics
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3 In this Helmholtz International Laboratory, we aim to address the reliability and throughput of various subsystems to achieve high-rate FEL measurements of complex systems. The Laboratory is organized into four work packages that each propose a novel and bold approach to improve reliability. This starts from applying machine learning to the operation of the accelerator and generation of X-ray pulses, as well as to the detection and analysis of X-ray signals. We aim to deploy robotic control of the delivery of samples to avoid interruptions and downtime, and to address challenges in the transport of high-power X-ray beams to experiments. These issues are common to our high-rate facilities and are best addressed collaboratively with pooled resources. Common solutions will enable standardization of experiments and protocols which will further foster collaboration in other areas and promote reliability and ease of use.
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5 The main objective of this joint lab is to push the performance of advanced accelerator-based X-ray sources and their applications in specific research areas to their full capability and potential by using novel optimization and automation strategies. This, in turn, will open the use of these advanced experimental techniques to a larger number of non-expert users.