Reproducible Python Implementation of an SCS–Hill–Wheeler Statistical Model for Nuclear Fission Charge Yields (ENDF/B-VIII.0)

This Zenodo deposit provides a reproducible Python codebase for computing and fitting fission product charge-yield distributions Y(Z) using a statistical framework that combines the Selective Channel Scission (SCS) model with Hill–Wheeler barrier penetrability. The repository supports multiple incident neutron-energy conditions (thermal, 500 keV, and 14 MeV; thermal excluded where not applicable) and includes Jupyter notebooks to run the full workflow end-to-end.

For each nuclide/energy case, the workflow generates:

• charge-yield comparison plots (evaluated data vs fitted model),

• estimated effective scission (fission) distances R_eff(Z) (plotted as points without smoothing curves),

• estimated Fermi-energy profiles E_x(Z), and

• a Table-3-like summary CSV where the mean Fermi-energy indicator is defined using only thermal and 500 keV conditions (14 MeV treated separately as a high-excitation regime).

The implementation is designed for transparency and reproducibility: case settings are specified in YAML/JSON, results are exported as CSV/PNG, and the notebooks document the execution steps.