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Principal components of nuclear mass models

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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.

Xin-Hui Wu、Pengwei Zhao

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Department of Physics,Fuzhou University,Fuzhou 350108,China

State Key Laboratory of Nuclear Physics and Technology,School of Physics,Peking University,Beijing 100871,China

State Key Laboratory of Nuclear Physics and Technology,Peking UniversityChina Postdoctoral Science FoundationNational Key R&D Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaHighperformance Computing Platform of Peking University

NPT2023KFY022021M7002562018YFA040440011935003119750311214150112070131001

2024

10.1007/s11433-023-2342-4

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中国科学:物理学 力学 天文学(英文版)
中国科学院

中国科学:物理学 力学 天文学(英文版)

CSTPCD
影响因子：0.91
ISSN：1674-7348
年,卷(期)：2024.67(7)
Xin-Hui Wu,Pengwei Zhao.Principal components of nuclear mass models[J].中国科学:物理学 力学 天文学(英文版),2024,67(7):65-71.DOI:10.1007/s11433-023-2342-4.