Panting Ge | Searcharxiv

arXiv2026

Sensitivity study of $\bar{K}_1(1270)$ decay dynamics using four $D\to \bar{K}_1(1270)(\to \bar K\pi\pi)e^+\nu$ decay channels

A sensitivity study for the measurement of $\bar{K}_1(1270)$ decay modes is performed using semileptonic $D$-meson decays. The BESIII experiment is taken as a case study, where a simultaneous analysis of $\bar{K}_1(1270)$ decays to the four thee-body final states $K^-\pi^+\pi^-$, $K^-\pi^+\pi^0$, $K_S^0\pi^+\pi^-$, and $K_S^0\pi^-\pi^0$ is presented and a model-independent determination of \mbox{$\mathcal{B}(\bar{K}_1(1270)\to \bar K\pi\pi)$}, without requiring detailed knowledge of intermediate resonant contributions, is proposed.

hep-ex↗

arXiv2022

Improvement of $q^2$ resolution in semileptonic decays based on machine learning

The neutrino closure method is often used to obtain kinematics of semileptonic decays with one unreconstructed particle. The kinematics of decays can be deducted by a two-fold ambiguity with a quadratic equation. To resolve the two-fold ambiguity, a new method based on Machine Learning (ML) is proposed. We study the effect of different sets of features and regressors on the improvement of reconstructed invariant mass squared of $\ell \nu$ system~($q^2$). The result shows that the best performance is obtained by using the flight vector as the features, and the multilayer perceptron (MLP) model as the regressor. Compared with the random choice, the MLP model improves the resolution of reconstructed $q^2$ by $\sim$40\%. Furthermore, the possibility of using this method on various semileptonic decays is shown.

hep-ph↗