Physic Detectors and Applications

Dear Colleagues,

Upcoming high-luminosity upgrades in experimental high-energy and nuclear physics, such as those planned at HL-LHC and other future collider programs, present unprecedented challenges for both data acquisition and physics analysis. Major upgrades to the reconstruction framework are also needed under extreme conditions, including higher detector occupancy, data throughput, and radiation damages.

We invite contributions that present novel techniques for important computational tasks in detector experiments, such as event reconstruction, jet and heavy-flavor tagging, and particle tracking in dense environments.

Submissions may explore a broad range of approaches, including numerical and statistical methods, optimization strategies for existing toolkits, and new frameworks that leverage machine learning or generative AI techniques. We especially welcome contributions that present simulated results using realistic experimental set-ups and expand on related applications in physics problems or measurables.

Dr. Xiaoning Wang
Dr. Xuefei Guo
Guest Editors

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