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LHC limits integrated into BSM physics global fits using symbolic regression

作者 PulseAugur 编辑部 · [1 个来源] ·

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

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

排序理由 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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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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报道来源 [1]

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

    符号分类赋能的LHC在线BSM全局拟合

    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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