4 papers
Bayesian neural network with autoencoder for model-based description of -particle preformation factor
Xiao-Yan Zhu, Heng-Jian Si-Tu, Hao Zhang +3
decay is an important probe for studying the structure of heavy and superheavy nuclei, in which the -particle preformation () is a key physical quantity for describing…
Correlation between nuclear isospin asymmetry and -particle preformation probability for superheavy nuclei from a Bayesian inference
Xiao-Yan Zhu, Hao Zhang, Wei Gao +3
In the study of decay within the superheavy nuclear region ( and ), the -particle preformation probability serves as a crucial physical quantity…
Centrifugal-corrected harmonic oscillator model for spherical proton emitters
Xiao-Yan Zhu, Wei Gao, Jia Liu +3
In the present work, we propose an improved harmonic oscillator model to systematically evaluate the proton radioactivity half-lives in spherical nuclei, incorporating centrifugal…
Gravitational losses for the binary systems induced by the next-to-leading spin-orbit coupling effects
Hao Zhang, Wei Gao, Guansheng He +3
The orbital energy and momentum of the compact binary systems will loss due to gravitational radiation. Based on the mass and mass-current multipole moments of the binary system wi…