CERN and Mistral plan a foundation model for collider physics
The planned Large Physics Model would train on billions of simulated LHC collisions and is not released.
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Stories tagged #particle-physics
Local Diagnostics of Learned Event Representations for Anomaly Detection at the HL-LHC
Supervised embeddings improve HL-LHC anomaly detection on 750 million simulated events and add local diagnostics.
Harvard particle physicist Matthew Schwartz drops 36 papers authored with Claude
Harvard physicist Matthew Schwartz released 36 papers co-authored with Claude.
Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion
VyPER framework reconstructs collider events using hypergraph representation learning and graph-conditioned diffusion, outperforming existing reconstruction techniques across Standard Model processes.
Searching for New Physics with Reinforcement Learning
Researchers apply reinforcement learning to identify SMEFT operators explaining particle physics anomalies, reproducing and improving known CDF W-mass results.