Speaker
Description
In order to provide higher quality X-ray beams, synchrotron radiation light sources are becoming increasingly complex, including dozens of highly delicate optical devices and sensitive experimental setups. This creates a common problem for all users, namely the need to quickly and accurately adjust the attitude and optimize the beamline to achieve the optimal photon beam and experimental scenarios; at present, this kind of attitude tuning is often done manually, wasting time and manpower. This presentation begins with the introduction of a generic beamline attitude tuning framework for advanced light sources, which supports flexible input/output ports, diverse data processing and evaluation functions, as well as rich choices of numerical optimization libraries. Next, we will describe the integration of our framework in Mamba, the universal experiment control and data acquisition software system for HEPS in China; in this way, user-friendly GUIs can be provided, and ML/AI techiques may be further employed. Finally, we will show real applications of our framework on the attitude tuning of a focusing capillary, an X-ray emission spectrometer and a Raman spectrometer; with similar applications in mind, we expect our attitude tuning framework to be capable of fulfilling a majority of beamline attitude tuning requirements in a unified, efficient and cost-effective manner.
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