FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
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The CKM angle γ is measured to be (68.1 ± 6.7)° from CP violation observed in the Dalitz plots of B± → DK± and B± → Dπ± decays with D → KS0π+π− and KS0K+K−.
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Local Conformal Predictions for Calibrated Surrogates
FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
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Measurement of $\gamma$ using $B^{\pm}\rightarrow DK^{\pm}$ and $B^{\pm}\rightarrow D\pi^{\pm}$ decays with $D\rightarrow K_{\rm S}^{0}\pi^{+}\pi^{-}$ and $D\rightarrow K_{\rm S}^{0}K^{+}K^{-}$
The CKM angle γ is measured to be (68.1 ± 6.7)° from CP violation observed in the Dalitz plots of B± → DK± and B± → Dπ± decays with D → KS0π+π− and KS0K+K−.