Brookhaven AIMS Series: Machine Learning for Beamline Operations Control and Data Collection
Tuesday, 11 April 2023 -
12:00
Monday, 10 April 2023
Tuesday, 11 April 2023
12:00
Towards Autonomous Synchrotron Radiation Beamline
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Yonghua Du
(Brookhaven National Laboratory (NSLS II))
Towards Autonomous Synchrotron Radiation Beamline
Yonghua Du
(Brookhaven National Laboratory (NSLS II))
12:00 - 13:00
**Abstract**: Synchrotron radiation facility is a vast research facility that enables users to carry out research in various fields, such as clean energy, biology, energy storage, energy conversion, microelectronics, environmental/geo science, material science, condensed matter physics, and more. The synchrotron radiation beamline serves as the endpoint for conducting experiments in the synchrotron radiation facility. The length of the beamline is normally tens - hundreds of meters, consisting of multiple optical components, apertures, slits, stages, etc. It is a complicated work to operate a synchrotron radiation beamline. The idea of autonomous beamline is to find a proper way to enable the beamline to run ex-situ experiment automatically and safely, significantly increasing the operation efficiency of the beamline.