Estimations of beta-decay energies through the nuclidic chart by using neural network

One of the main characteristics of unstable nuclei is beta-decay energy (Qβ). It is determined by different methods such as beta endpoint measurements, counting in coincidence with annihilation radiation, electron capture (EC)/β+ ratio method, method of gamma absorption with X-ray coincidence. Beta-decay energy is a roughly linear function of atomic and mass numbers. Due to the fact that artificial neural network (ANN) is sufficient for nonlinear function approximation, in this study by using the nuclear masses from Hartree–Fock–BCS method, Qβ values have been obtained by ANN. It is seen that the estimations of the ANN are consistent with the calculated data within some deviation. •Beta decay energy is characteristic of unstable nuclei.•Atomic masses of nuclei can be calculated by using beta decay energy.•Artificial neural network is capable for the estimation of beta decay energy.