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Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kvapil, J., Borca-Tasciuc, G., Bossi, H., Chen, K., Chen, Y., Morales, Y. Corrales, Da Costa, H., Da Silva, C., Dean, C., Durham, J., Fu, S., Hao, C., Harris, P., Hen, O., Jheng, H., Lee, Y., Li, P., Li, X., Lin, Y., Liu, M. X., Loncar, V., Mitrevski, J. P., Olvera, A., Purschke, M. L., Renck, J. S., Roland, G., Schambach, J., Shi, Z., Tran, N., Wuerfel, N., Xu, B., Yu, D., Zhang, H.
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Detectors Machine Learning High Energy Physics - Experiment Nuclear Experiment
Online Access:	Acceder al recurso
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