Template-Adapted Mixture Model uses many biased simulations for data-driven estimates of signal and background distributions, yielding unbiased signal fraction estimates with well-calibrated uncertainties.
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A hybrid NSBI technique is presented for inferring the Higgs trilinear coupling via off-shell production in SMEFT, achieving near-theoretical-optimum sensitivity with expected HL-LHC constraints.
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Many Wrongs Make a Right: Leveraging Biased Simulations Towards Unbiased Parameter Inference
Template-Adapted Mixture Model uses many biased simulations for data-driven estimates of signal and background distributions, yielding unbiased signal fraction estimates with well-calibrated uncertainties.
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Neural simulation-based inference of the Higgs trilinear self-coupling via off-shell Higgs production
A hybrid NSBI technique is presented for inferring the Higgs trilinear coupling via off-shell production in SMEFT, achieving near-theoretical-optimum sensitivity with expected HL-LHC constraints.