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Kernel Estimation in High-Energy Physics

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it
abstract

Kernel Estimation provides an unbinned and non-parametric estimate of the probability density function from which a set of data is drawn. In the first section, after a brief discussion on parametric and non-parametric methods, the theory of Kernel Estimation is developed for univariate and multivariate settings. The second section discusses some of the applications of Kernel Estimation to high-energy physics. The third section provides an overview of the available univariate and multivariate packages. This paper concludes with a discussion of the inherent advantages of kernel estimation techniques and systematic errors associated with the estimation of parent distributions.

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Charged-lepton identification at Belle~II

hep-ex · 2026-06-24 · unverdicted · novelty 3.0

Belle II describes its charged-lepton identification algorithms and reports performance on 428 fb^{-1} of Run 1 data from SuperKEKB.

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Showing 2 of 2 citing papers after filters.

  • Wave-Function Femtometry: Hypertriton - The Ultimate Halo Nucleus nucl-ex · 2026-04-09 · unverdicted · none · ref 55

    Hypertriton production yield in LHC pp collisions, described by nuclear coalescence, confirms its halo structure with a Lambda separation of 9.54 fm from the deuteron core.

  • Charged-lepton identification at Belle~II hep-ex · 2026-06-24 · unverdicted · none · ref 28 · internal anchor

    Belle II describes its charged-lepton identification algorithms and reports performance on 428 fb^{-1} of Run 1 data from SuperKEKB.