Under V0-a parameter space, the Bayesian parameter estimates for 48Ca, 50Ti, and 52Cr + 208Pb

Assuming a uniform prior over two-parameter space (V0, a) and Gaussian experimental errors, the posterior distribution takes the form P(V0, a | data) ∝ exp(-χ2(V0, a)/2). The posterior is evaluated on a discrete parameter grid of 176, 143, and 204 points for 48Ca, 50Ti, 52Cr system, respectively, and normalized as P(V0, a | data) = 1.48Ca scanning: V0=[70.0, 100.0] MeV, a=[0.55, 0.8] fm,  180.0–320.0 MeV (step by 10.0 MeV)50Ti scanning: V0=[48.0, 54.0] MeV, a=[0.44, 0.54] fm, 185.0–330.0 MeV (step by 10.0 MeV)52Cr scanning: V0=[50.0, 58.0] MeV, a=[0.42, 0.53] fm, 210.0–340.0 MeV (step by 10.0 MeV)