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  1. Article

    Open Access

    Binary discrimination through next-to-leading order

    Binary discrimination between well-defined signal and background datasets is a problem of fundamental importance in particle physics. With detailed event simulation and the advent of extensive deep learning to...

    Andrew J. Larkoski in Journal of High Energy Physics (2024)

  2. Article

    Open Access

    Flavor fragmentation function factorization

    A definition of partonic jet flavor that is both theoretically well-defined and experimentally robust would have profound implications for measurements and predictions especially for heavy flavor applications....

    Andrew J. Larkoski, Duff Neill in Journal of High Energy Physics (2024)

  3. Article

    Open Access

    A spectral metric for collider geometry

    By quantifying the distance between two collider events, one can triangulate a metric space and reframe collider data analysis as computational geometry. One popular geometric approach is to first represent ev...

    Andrew J. Larkoski, Jesse Thaler in Journal of High Energy Physics (2023)

  4. Article

    Open Access

    A fragmentation approach to jet flavor

    An intuitive definition of the partonic flavor of a jet in quantum chromodynamics is often only well-defined in the deep ultraviolet, where the strong force becomes a free theory and a jet consists of a single...

    Simone Caletti, Andrew J. Larkoski, Simone Marzani in Journal of High Energy Physics (2022)

  5. Article

    Open Access

    Grooming at the cusp: all-orders predictions for the transition region of jet groomers

    Jet grooming has emerged as a necessary and vital tool for mitigating contamination radiation in jets. The additional restrictions on emissions imposed by the groomer can result in non-smooth behavior of resul...

    Kees Benkendorfer, Andrew J. Larkoski in Journal of High Energy Physics (2021)

  6. Article

    Open Access

    A large-N expansion for minimum bias

    Despite being the overwhelming majority of events produced in hadron or heavy ion collisions, minimum bias events do not enjoy a robust first-principles theoretical description as their dynamics are dominated ...

    Andrew J. Larkoski, Tom Melia in Journal of High Energy Physics (2021)

  7. Article

    Open Access

    Improving the understanding of jet grooming in perturbation theory

    Jet grooming has emerged as a necessary and powerful tool in a precision jet physics program. In this paper, we present three results on jet grooming in perturbation theory, focusing on heavy jet mass in e+e h...

    Andrew J. Larkoski in Journal of High Energy Physics (2020)

  8. Article

    Open Access

    Navigating collinear superspace

    We introduce a new set of effective field theory rules for constructing Lagrangians with N ...

    Timothy Cohen, Gilly Elor, Andrew J. Larkoski in Journal of High Energy Physics (2020)

  9. Article

    Open Access

    Circumnavigating collinear superspace

    In this paper, we extend the collinear superspace formalism to include the full range of N ...

    Timothy Cohen, Gilly Elor, Andrew J. Larkoski in Journal of High Energy Physics (2020)

  10. Article

    Open Access

    Calculating pull for non-singlet jets

    The pull vector is a jet observable sensitive to the distribution of soft radiation controlled by the color flow in a collider event. We present calculations to leading order in the soft and collinear limits f...

    Yunjia Bao, Andrew J. Larkoski in Journal of High Energy Physics (2019)

  11. Article

    Open Access

    A theory of quark vs. gluon discrimination

    Understanding jets initiated by quarks and gluons is of fundamental importance in collider physics. Efficient and robust techniques for quark versus gluon jet discrimination have consequences for new physics s...

    Andrew J. Larkoski, Eric M. Metodiev in Journal of High Energy Physics (2019)

  12. Article

    Open Access

    New insights on an old problem: resummation of the D-parameter

    The D-parameter is one of the oldest and most experimentally well-studied hadronic observables for e+e collisions. Nevertheless, unlike other classic observables like the C-parameter or thrust, the D-parameter h...

    Andrew J. Larkoski, Aja Procita in Journal of High Energy Physics (2019)

  13. Article

    Open Access

    Novel jet observables from machine learning

    Previous studies have demonstrated the utility and applicability of machine learning techniques to jet physics. In this paper, we construct new observables for the discrimination of jets from different origina...

    Kaustuv Datta, Andrew J. Larkoski in Journal of High Energy Physics (2018)

  14. Article

    Open Access

    Factorization and resummation for groomed multi-prong jet shapes

    Observables which distinguish boosted topologies from QCD jets are playing an increasingly important role at the Large Hadron Collider (LHC). These observables are often used in conjunction with jet grooming a...

    Andrew J. Larkoski, Ian Moult, Duff Neill in Journal of High Energy Physics (2018)

  15. Article

    Open Access

    Casimir meets Poisson: improved quark/gluon discrimination with counting observables

    Charged track multiplicity is among the most powerful observables for discriminating quark- from gluon-initiated jets. Despite its utility, it is not infrared and collinear (IRC) safe, so perturbative calculat...

    Christopher Frye, Andrew J. Larkoski, Jesse Thaler in Journal of High Energy Physics (2017)

  16. Article

    Open Access

    Soft-collinear supersymmetry

    Soft-Collinear Effective Theory (SCET) is a framework for modeling the infrared structure of theories whose long distance behavior is dominated by soft and collinear divergences. This paper demonstrates that S...

    Timothy Cohen, Gilly Elor, Andrew J. Larkoski in Journal of High Energy Physics (2017)

  17. Article

    Open Access

    The analytic structure of non-global logarithms: convergence of the dressed gluon expansion

    Non-global logarithms (NGLs) are the leading manifestation of correlations between distinct phase space regions in QCD and gauge theories and have proven a challenge to understand using traditional resummation...

    Andrew J. Larkoski, Ian Moult, Duff Neill in Journal of High Energy Physics (2016)

  18. Article

    Open Access

    Factorization for groomed jet substructure beyond the next-to-leading logarithm

    Jet grooming algorithms are widely used in experimental analyses at hadron colliders to remove contaminating radiation from within jets. While the algorithms perform a great service to the experiments, their i...

    Christopher Frye, Andrew J. Larkoski, Matthew D. Schwartz in Journal of High Energy Physics (2016)

  19. Article

    Open Access

    Analytic boosted boson discrimination

    Observables which discriminate boosted topologies from massive QCD jets are of great importance for the success of the jet substructure program at the Large Hadron Collider. Such observables, while both widely...

    Andrew J. Larkoski, Ian Moult, Duff Neill in Journal of High Energy Physics (2016)

  20. Article

    Open Access

    Non-global logarithms, factorization, and the soft substructure of jets

    An outstanding problem in QCD and jet physics is the factorization and resummation of logarithms that arise due to phase space constraints, so-called non-global logarithms (NGLs). In this paper, we show that N...

    Andrew J. Larkoski, Ian Moult, Duff Neill in Journal of High Energy Physics (2015)

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