Phys.Lett. B 839, 137801 (2023)

L.J.Sun, C.Fry, B.Davids, N.Esker, C.Wrede, M.Alcorta, S.Bhattacharjee, M.Bowry, B.A.Brown, T.Budner, R.Caballero-Folch, L.Evitts, M.Friedman, A.B.Garnsworthy, B.E.Glassman, G.Hackman, J.Henderson, O.S.Kirsebom, J.Lighthall, P.Machule, J.Measures, M.Moukaddam, J.Park, C.Pearson, D.Perez-Loureiro, C.Ruiz, P.Ruotsalainen, J.Smallcombe, J.K.Smith, D.Southall, J.Surbrook, L.E.Weghorn, M.Williams

First application of Markov chain Monte Carlo-based Bayesian data analysis to the Doppler-shift attenuation method

NUCLEAR REACTIONS ³He(³²S, α)³¹S, E=128 MeV; measured reaction products, Eγ, Iγ; deduced γ-ray energies, levels, T_1/2, resonances. Comparison with the shell-model code NuShellX calculations. Modern Markov chain Monte Carlo-based Bayesian statistical techniques. The Doppler Shift Lifetimes (DSL2) facility at the TRIUMF Isotope Separator and Accelerator (ISAC-II) facility.

doi: 10.1016/j.physletb.2023.137801