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  1. Even though jet substructure was not an original design consideration for the Large Hadron Collider (LHC) experiments, it has emerged as an essential tool for the current physics program. We examine the role of jet substructure on the motivation for and design of future energy Frontier colliders. In particular, we discuss the need for a vibrant theory and experimental research and development program to extend jet substructure physics into the new regimes probed by future colliders. Jet substructure has organically evolved with a close connection between theorists and experimentalists and has catalyzed exciting innovations in both communities. We expect such developments will play an important role in the future energy Frontier physics program.
    Free, publicly-accessible full text available June 22, 2023
  2. Typical LHC analyses search for local features in kinematicdistributions. Assumptions about anomalous patterns limit them to arelatively narrow subset of possible signals. Wavelets extractinformation from an entire distribution and decompose it at all scales,simultaneously searching for features over a wide range of scales. Wepropose a systematic wavelet analysis and show how bumps, bump-dipcombinations, and oscillatory patterns are extracted. Our kinematicwavelet analysis kit KWAK provides a publicly available framework toanalyze and visualize general distributions.
  3. We estimate the reach of global Higgs analyses at a 27 TeV hadroncollider in terms of Higgs couplings and in terms of a gauge-invarianteffective Lagrangian, including invisible Higgs decays and the Higgsself-coupling. The new collider will indirectly probe new physics in theTeV range and allow for a meaningful test of the Higgs self-couplingalso embedded in a global analysis.
  4. Based on the established task of identifying boosted, hadronicallydecaying top quarks, we compare a wide range of modern machine learningapproaches. Unlike most established methods they rely on low-levelinput, for instance calorimeter output. While their networkarchitectures are vastly different, their performance is comparativelysimilar. In general, we find that these new approaches are extremelypowerful and great fun.