Advanced Computational Technologies for Experiment Control, Data Acquisition, and Data Analysis at the Advanced Photon Source.

The article discusses the ongoing upgrade of the Advanced Photon Source (APS) and the implementation of advanced computational technologies for experiment control, data acquisition, and data analysis. The upgrade aims to make the APS the brightest hard X-ray synchrotron light source in the world. The article highlights the use of automated optics alignment and artificial intelligence/machine learning approaches for improved precision and efficiency in experiments. It also describes the development of a new control system for a spectroscopy beamline using Bluesky and Ophyd, which has already enabled user experiments during commissioning. The article emphasizes the importance of these advancements in handling the increasing volume of data generated at the APS and improving research opportunities. The APS is partnering with the Argonne Leadership Computing Facility (ALCF) to provide streamlined computing capabilities for researchers, including dedicated computing allocations and standardized processing workflows. The APS has also implemented a Fast Autonomous Scanning Toolkit (FAST) that uses neural networks and efficient hardware controls for scanning microscopy experiments. These advancements will enhance the capabilities of the APS and facilitate real-time data processing and analysis during experiments. [Extracted from the article]