ATLAS reports significant suppression (I_AA < 1) of photon-tagged two-jet yields in Pb+Pb versus pp collisions at 5.02 TeV across three observables, compared to JEWEL, JETSCAPE, and LBT models.
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An LSTM model trained on simulated jet substructure learns to predict true jet energy loss and distinguishes quenching signatures even after realistic detector effects are applied.
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Measurement of isolated photon plus two-jet correlations in Pb+Pb and $pp$ collisions at 5.02 TeV with ATLAS
ATLAS reports significant suppression (I_AA < 1) of photon-tagged two-jet yields in Pb+Pb versus pp collisions at 5.02 TeV across three observables, compared to JEWEL, JETSCAPE, and LBT models.
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Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions
An LSTM model trained on simulated jet substructure learns to predict true jet energy loss and distinguishes quenching signatures even after realistic detector effects are applied.