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Use of a generalized energy Mover’s distance in the search for rare phenomena at colliders

M. Crispim Romão, N. F. Castro, J. G. Milhano, R. Pedro, T. Vale

2021The European Physical Journal C44 citationsDOIOpen Access PDF

Abstract

Abstract In this paper, we expand on the previously proposed concept of energy Mover’s distance. The resulting observables are shown to provide a way of identifying rare processes in proton–proton collider experiments. It is shown that different processes are grouped together differently and that this can contribute to the improvement of experimental analyses. The $$t{\bar{t}}Z$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>t</mml:mi> <mml:mover> <mml:mrow> <mml:mi>t</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>¯</mml:mo> </mml:mrow> </mml:mover> <mml:mi>Z</mml:mi> </mml:mrow> </mml:math> production at the Large Hadron Collider is used as a benchmark to illustrate the applicability of the method. Furthermore, we study the use of these observables as new features which can be used in the training of deep neural networks.

Topics & Concepts

ObservablePhysicsParticle physicsColliderLarge Hadron ColliderBenchmark (surveying)Energy (signal processing)HadronProduction (economics)High energyStatistical physicsRare eventsComputer scienceTheoretical physicsNuclear physicsElementary particleArtificial neural networkParticle physics theoretical and experimental studiesHigh-Energy Particle Collisions ResearchQuantum Chromodynamics and Particle Interactions
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