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Author

G. Giacalone

2 papers indexed here

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Preprint Sep 2026

From Nuclear Many-Body Correlations to Energy Detector Correlators

Relativistic nuclear collisions have opened an experimental arena for studying many-body correlations in nuclear ground states. However, the connection between initial-state correlations and final-state multi-particle observables measured at colliders is not yet formulated as a systematically improvable matching proble...

João Barata, G. Giacalone · 0 citations
#artificial intelligence Review Sep 2026

Learning Nuclear Structure with AI: Radii and Collectivity

Hold-out ensembles based on NuCLR (Nuclear Co-Learned Representations), a multi-task model of nuclear data, are developed to study charge radii and electric-quadrupole transition strengths and error bars estimate the expected prediction accuracy across the nuclear chart.

G. Giacalone, S. Trifinopoulos, Mike Williams · 0 citations

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