AI will be an essential part of future experiments like the Electron Ion Collider, a new $2B high-luminosity facility capable to collide high-energy electron beams with high-energy proton and ion beams that will be built at BNL in approximately 10 years from now to unlock the secrets of the "glue" that binds the building blocks of visible matter in the universe.
AI can provide new insights and discoveries from both experimental and computational data produced at user facilities.
This website includes AI activities related to EIC that will characterize the different phases of its realization.
Artificial Intelligence contributes to all phases of the Electron Ion Collider starting from the Design and R&D. The optimization of such large scale experiment is a complex problem characterized by multiple parameters and objectives like detector performance and costs. AI will provide insight on hidden correlations among the design parameters and will identify optimal tradeoff solutions in a multidimensional space of the objectives. The AI-supported Optimization of the Accelerator and Detector Design needs reliable Simulations followed by Reconstruction and Analysis, all areas covered in the AI4EIC workshop. Another important activity in EIC is Streaming Readout, aiming at a continuous readout of all detector signals without requiring a "trigger", with data selection realized in software, furthering the convergence of online and offline analyses and allowing for faster data quality monitoring, calibration and alignments. EIC will be one of the first automated experiments where AI will be largely applied for Accelerator and Detector control. EIC will be operating in 2030's, and by then AI may also leverage on technologies that are currently Computing Frontiers.
The first workshop on AI4EIC is dedicated to experimental applications of A.I. for the Electron Ion Collider and takes place on September 7-10 2021 during the design and R&D phases.
This is a series of workshops that will follow in the next years, the focus characterized by the final extension (e.g., exp in AI4EIC-exp).
AI in our society will be the economic driver of the next decade when EIC will be operating. Educational activities are aimed at disseminating AI in the EIC community. Hackathons can be built around specific challenges for EIC and help identifying strategies, architectures and algorithms that will benefit the EIC physics program.
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