Contrastive Analysis of the DCM with Statistical Models in Illustrating Nuclear Decay Channels

In the low-energy nuclear physics the theoretical elucidation ofcompound nucleus formation and decay remains a primary challenge.Specifically for predicting cross sections of rare decay channelsand superheavy element synthesis. Numerous models have beenformulated, however most describes fusion and decay independentlyand requisite system-specific fitting. In this review, acomparative study of the predictability of the DynamicalCluster-decay Model (DCM) with three widely used theoreticalapproaches: HIVAP, PACE4, and DNS has been presented. DCM gives acentralized dynamical structure to describe capture, fusion, andde-excitation of a compound nucleus through collective motion inmass-asymmetry and relative separation coordinates, with immediatesubjection on temperature and angular momentum. However, HIVAP andPACE4 are statistical evaporation models, while DNS concentrateson the dynamics of fusion and survival probability. The comparisonis based on how well the data can be replicated without anyfurther fitting, and the extent to which this depends on theexcitation energy and the entrance channel. Analysis reveals thatwhile statistical models perform better in well-studied massregions, the DCM owing to its dynamical treatment and reducedreliance on parameters offers complementary predictive capabilityfor unexplored systems.