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hep-ph2024★ 9 cited
Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production
Radha Mastandrea, Benjamin Nachman, Tilman Plehn
Determining the form of the Higgs potential is one of the most exciting challenges of modern particle physics. Higgs pair production directly probes the Higgs self-coupling and sho…
hep-ph2024
Incorporating Physical Priors into Weakly-Supervised Anomaly Detection
Chi Lung Cheng, Gup Singh, Benjamin Nachman
We propose a new machine-learning-based anomaly detection strategy for comparing data with a background-only reference (a form of weak supervision). The sensitivity of previous str…