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Dispelling the $$\sqrt{\mathcal {L}} $$ myth for the High-Luminosity LHC

Alberto Belvedere, Christoph Englert, R. Kogler, Michael Spannowsky

2024The European Physical Journal C16 citationsDOIOpen Access PDF

Abstract

Abstract Extrapolations of sensitivity to new interactions and standard model parameters critically inform the programme at the Large Hadron Collider (LHC) and potential future collider cases. To this end, statistical considerations based on inclusive quantities and established analysis strategies typically give rise to a sensitivity scaling with the square root of the luminosity, $$\sqrt{\mathcal {L}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msqrt> <mml:mi>L</mml:mi> </mml:msqrt> </mml:math> . This suggests only a mild sensitivity improvement for LHC’s high-luminosity phase, compared to the collected data up to the year 2025. We discuss representative analyses in top quark, Higgs boson and electroweak gauge boson phenomenology and provide clear evidence that the assumption that the sensitivity in searches and measurement scales only with $$\sqrt{\mathcal {L}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msqrt> <mml:mi>L</mml:mi> </mml:msqrt> </mml:math> at the High-Luminosity LHC is overly conservative at best, and unrealistic in practice. As kinematic coverage enables more targeted search strategies with sufficient statistical sensitivity, employing a multitude of features in data dispels the scaling based on more inclusive selections.

Topics & Concepts

PhysicsParticle physicsLarge Hadron ColliderHiggs bosonElectroweak interactionPhysics beyond the Standard ModelSensitivity (control systems)ScalingPhenomenology (philosophy)BosonTop quarkGauge bosonStandard Model (mathematical formulation)LuminosityGauge (firearms)Gauge theoryAstrophysicsMathematicsGeometryArchaeologyEngineeringHistoryPhilosophyElectronic engineeringEpistemologyGalaxyParticle physics theoretical and experimental studiesHigh-Energy Particle Collisions ResearchParticle Detector Development and Performance
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