Speaker
Description
The European Spallation Source (ESS) beam instrumentation generates over 100 gigabytes of data per second from over 100 subsystems along the whole ESS linac. Currently, the data is only processed locally. The development of machine learning techniques and hardware created an opportunity to allow complex analysis of the data coming from the whole accelerator. Such analysis can bring benefits to the accelerator operation and improve its reliability.
The main aim of the Modal project is to collect the data from all beam instrumentation subsystems and send it to the central processing unit. This challenging task will be solved using dedicated hardware and firmware components.
This contribution presents the Modal concept and planned architecture with performance measurements, status and plans for the near future.
| Abstract Category | System and Operation |
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