Lattice QCD supplies Standard Model branching-fraction predictions for all four K to l nu l' l' channels with controlled uncertainties of 2-7 percent, consistent with published data and preliminary NA62 results.
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Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupling-layer flows.
A method to approximate kinematic distributions from Monte Carlo events using coefficients of orthogonal basis functions produces smooth curves and removes bin-to-bin fluctuations in subtracted perturbative calculations.
citing papers explorer
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Rare kaon decays $K^- \to \ell^- \bar{\nu}_\ell \ell'^{+} \ell'^{-}$: Standard Model predictions from lattice QCD
Lattice QCD supplies Standard Model branching-fraction predictions for all four K to l nu l' l' channels with controlled uncertainties of 2-7 percent, consistent with published data and preliminary NA62 results.
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Monte Carlo Event Generation with Continuous Normalizing Flows
Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupling-layer flows.
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On the reconstruction of kinematic distributions computed with Monte Carlo methods using orthogonal basis functions
A method to approximate kinematic distributions from Monte Carlo events using coefficients of orthogonal basis functions produces smooth curves and removes bin-to-bin fluctuations in subtracted perturbative calculations.