Principal components of nuclear mass models

Principal component analysis (PCA) is employed to extract the principal components (PCs) present in nuclear mass models for the first time. The effects from different nuclear mass models are reintegrated and reorganized in the extracted PCs. These PCs are recombined to build new mass models, which achieve better accuracy than the original theoretical mass models. This comparison indicates that using the PCA approach, the effects contained in different mass models can be collaborated to improve nuclear mass predictions.