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LHC limits integrated into BSM physics global fits using symbolic regression

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a method to incorporate Large Hadron Collider (LHC) exclusion limits into online global fits for Beyond the Standard Model (BSM) physics. This approach uses symbolic regression to derive mathematical expressions that classify the phenomenological Minimal Supersymmetric Standard Model (pMSSM) parameter space, making it computationally feasible to include LHC Run-2 limits in real-time parameter scans. The technique was demonstrated using ATLAS constraints from electroweakino production searches. AI

IMPACT This research could accelerate the discovery of new physics by enabling more efficient analysis of experimental data.

RANK_REASON The item is an academic paper detailing a new methodology for physics research. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

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LHC limits integrated into BSM physics global fits using symbolic regression

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The item is an academic paper detailing a new methodology for physics research. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shehu AbdusSalam ·

    Symbolic Classification-Enabled LHC Limits Online BSM Global Fits

    arXiv:2605.22330v1 Announce Type: cross Abstract: Global fits of Beyond the Standard Model (BSM) physics often involve a two-way interplay between theory and experiment. Theoretical models provide guidance for experimental searches, while experimental results, in turn, constrain …

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