AI agents optimize crystal granularity, length, ADC bits, sampling rate, and clustering radius in a differentiable simulation of a dual-readout segmented crystal EM calorimeter.
Physics instrument design with reinforce- ment learning, 2024
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Phenomenological Detector Design and Optimization in Vertically-Integrated Differentiable Full Simulations with Agentic-AI
AI agents optimize crystal granularity, length, ADC bits, sampling rate, and clustering radius in a differentiable simulation of a dual-readout segmented crystal EM calorimeter.