Nanosecond-Scale Proton Emission from Triaxially Deformed Lu-148 Predicted with High Accuracy Qp Value via Novel Bayesian Evaluation
Lin-Xing Zeng, Qi Lu, Kaiyuan Zhang, Shi-Sheng Zhang

TL;DR
This paper predicts the nanosecond-scale proton emission half-life of $^{148}$Lu using a novel Bayesian neural network to accurately determine the proton decay energy, significantly reducing uncertainty compared to previous models.
Contribution
It introduces a new Bayesian neural network model for precise $Q_p$ value prediction, improving half-life uncertainty estimates for proton emitters.
Findings
Predicted half-life of $^{148}$Lu is approximately 196 ns with reduced uncertainty.
Bayesian Neural Network model decreases $S_p$ uncertainty from 411 keV to 89 keV.
Predictions are consistent with experimental data and other theoretical approaches.
Abstract
The half-life of the odd-odd deformed proton emitter Lu is predicted to be ns via the Wentzel-Kramers-Brillouin (WKB) approximation, in which the potential is extracted from the triaxial relativistic Hartree-Bogoliubov theory in continuum (TRHBc) and the proton decay energy is computed as 2.015(89) MeV by the Bayesian Neural Network - Beihang (BNN-BH) model for the first time. As a decisive factor, the uncertainty of has been improved from 411 keV (Bayesian Machine Learning, BML) to 89 keV (BNN-BH) by taking the ensemble uncertainty into account and confining the error estimation to the neighboring nuclei. In consequence, the magnitude of the half-life's uncertainty can be reduced from 4 orders to 1 order, compared to that ( ns) with from the BML model. We also found that the range of half-life predicted…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNuclear physics research studies · Neutrino Physics Research · Particle physics theoretical and experimental studies
