Binary discrimination through next-to-leading order von Larkoski, Andrew J.

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QCD masterclass lectures on jet physics and machine learning von Larkoski, Andrew J.

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Novel jet observables from machine learning von Datta, Kaustuv, Larkoski, Andrew J.

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A theory of quark vs. gluon discrimination von Larkoski, Andrew J., Metodiev, Eric M.

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Factorization for groomed jet substructure beyond the next-to-leading logarithm von Frye, Christopher, Larkoski, Andrew J., Schwartz, Matthew D., Yan, Kai

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Energy correlation functions for jet substructure von Larkoski, Andrew J., Salam, Gavin P., Thaler, Jesse

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Gaining (mutual) information about quark/gluon discrimination von Larkoski, Andrew J., Thaler, Jesse, Waalewijn, Wouter J.

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Casimir meets Poisson: improved quark/gluon discrimination with counting observables von Frye, Christopher, Larkoski, Andrew J., Thaler, Jesse, Zhou, Kevin

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Flavor fragmentation function factorization von Larkoski, Andrew J., Neill, Duff

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Practical jet flavour through NNLO von Caletti, Simone, Larkoski, Andrew J., Marzani, Simone, Reichelt, Daniel

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A spectral metric for collider geometry von Larkoski, Andrew J., Thaler, Jesse

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Grooming at the cusp: all-orders predictions for the transition region of jet groomers von Benkendorfer, Kees, Larkoski, Andrew J.

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A large-N expansion for minimum bias von Larkoski, Andrew J., Melia, Tom

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A fragmentation approach to jet flavor von Caletti, Simone, Larkoski, Andrew J., Marzani, Simone, Reichelt, Daniel

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Factorization and resummation for groomed multi-prong jet shapes von Larkoski, Andrew J., Moult, Ian, Neill, Duff

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Calculating pull for non-singlet jets von Bao, Yunjia, Larkoski, Andrew J.

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Toward multi-differential cross sections: measuring two angularities on a single jet von Larkoski, Andrew J., Moult, Ian, Neill, Duff

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Is infrared-collinear safe information all you need for jet classification? von Athanasakos, Dimitrios, Larkoski, Andrew J., Mulligan, James, Płoskoń, Mateusz, Ringer, Felix

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New insights on an old problem: resummation of the D-parameter von Larkoski, Andrew J., Procita, Aja

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Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning von Larkoski, Andrew J., Moult, Ian, Nachman, Benjamin

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