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    Basis truncation, statistical errors, and systematic uncertainties in relativistic approaches to the nuclear response

    A. V. Afanasjev1, E. Litvinova2, and B. Osei1

    Phys. Rev. C 114, 014310 – Published 10 July, 2026

    DOI: https://doi.org/10.1103/l5md-8gql

    Abstract

    Although there exists a clear and, in principle, exact theoretical formulation for the equation of motion for the response of a correlated fermionic system, its numerical implementations for atomic nuclei require feasible approximations. One of the widely accepted approximations is a truncated harmonic oscillator (HO) basis, whose wave functions are used to expand the solutions obtained with realistic interactions. In this work, we extend previously employed HO basis truncated at NF=20 fermionic shells to NF=50 and perform a systematic study of the effects of such basis increase on nuclear resonances. The relativistic random-phase approximation (RRPA) and its extension by the particle-vibration coupling dubbed as relativistic time-blocking approximation are applied to the description of the monopole, dipole, quadrupole, and octupole resonances in Ca48, Ni78, and Sn132, and the RRPA studies are extended to Ca70 and Pb208. A considerable sensitivity of the strength distributions to the HO basis size is found, especially for low-spin resonances in the light neutron-rich nuclei. The effects of the HO basis extension to NF=50 are analyzed and linked to the involvement of proton and neutron continuum states and proton quasibound states in the strength formation. The obtained results point to the importance of the HO basis completeness and continuum effects in the nuclear response calculations and evaluation of the associated parameters of the nuclear equation of state. Statistical errors and systematic uncertainties in the RRPA strength functions are analyzed. They are found to be substantial for the monopole response but significantly smaller for the dipole, quadrupole, and octupole ones. Neither of them shows a pronounced mass dependence, and statistical errors are generally smaller than systematic uncertainties.

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