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A Robust Measure of Event Isotropy at Colliders

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arxiv 2004.06125 v3 pith:RAMK64MW submitted 2020-04-13 hep-ph hep-ex

classification hep-phhep-ex
keywords eventisotropycollidersobservablepatternradiationcollidercompared
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce a new event shape observable -- event isotropy -- that quantifies how close the radiation pattern of a collider event is to a uniform distribution. This observable is based on a normalized version of the energy mover's distance, which is the minimum "work" needed to rearrange one radiation pattern into another of equal energy. We investigate the utility of event isotropy both at electron-positron colliders, where events are compared to a perfectly spherical radiation pattern, as well as at proton-proton colliders, where the natural comparison is to either cylindrical or ring-like patterns. Compared to traditional event shape observables like sphericity and thrust, event isotropy exhibits a larger dynamic range for high-multiplicity events. This enables event isotropy to not only distinguish between dijet and multijet processes but also separate uniform N-body phase space configurations for different values of N. As a key application of this new observable, we study its performance to characterize strongly-coupled new physics scenarios with isotropic collider signatures.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Multi-scale Optimal Transport for Complete Collider Events

    hep-ph 2025-01 conditional novelty 7.0 of 10

    A hierarchical optimal transport distance, built by measuring events as distributions of jets whose shapes are measured by optimal transport, improves classification of simulated LHC events.

  2. An Optimal Transportation Approach for Improved Confidence Intervals

    stat.ME 2026-06 unverdicted novelty 6.0 of 10

    Optimal-transport couplings are used to construct confidence intervals that reduce coverage error relative to classical quantile-based intervals, with consistency theory and data-driven hyperparameters.

  3. Optimal Transport Event Representation for Anomaly Detection

    hep-ph 2025-12 conditional novelty 5.0 of 10

    Adding a few optimal-transport-based features to standard jet observables nearly doubles anomaly-detection significance at 0.5% signal injection on LHC Olympics benchmarks.

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