New algorithm in the variation after projection calculations for non-yrast nuclear states
Jia-Qi Wang, Zao-Chun Gao, Ying-Jun Ma, Y.S. Chen

TL;DR
This paper introduces a new, simplified algorithm for variation after projection (VAP) that efficiently calculates both yrast and non-yrast nuclear states on equal footing, avoiding complex orthogonalization procedures.
Contribution
The novel algorithm unifies the treatment of yrast and non-yrast states in VAP, automatically ensures orthogonality, and leverages matrix theory for efficient energy minimization.
Findings
VAP energies closely match full shell model results.
The algorithm simplifies calculations by avoiding Gram-Schmidt orthogonalization.
It is potentially applicable to various quantum many-body systems.
Abstract
We present a novel and simple algorithm in the variation after projection (VAP) approach for the non-yrast nuclear states. It is for the first time that the yrast state and non-yrast states can be varied on the same footing. The orthogonality among the calculated states is automatically fulfilled by solving the Hill-Wheeler equation. This avoids the complexity of the frequently used Gram-Schmidt orthogonalization, as adopted by the excited VAMPIR method. Thanks to the Cauchy's interlacing theorem in the matrix theory, the sum of the calculated lowest projected energies with the same quantum numbers can be safely minimized. Once such minimization is converged, all the calculated energies and the corresponding states can be obtained, simultaneously. The present VAP calculations are performed with time-odd Hartree-Fock Slater determinants. It is shown that the calculated VAP energies (both…
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