Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Zeitschrift für Physik A Hadrons and Nuclei

Multi-configuration Hartree-Fock theory in nuclei

Amand Faessler, Angelo Plastino

Published Feb 1, 1969• 38 citations
Publisher
DOI
10.1007/bf01394412

Related papers

Time-dependent Hartree-Fock Theory for Multi-nucleon Transfer Reactions

一之 関澤, 一浩 矢花

素粒子論研究•Jan 1, 2012•0 citations

The quantum theory of nucleon correlation in finite nuclei. I. Hartree-Fock approximation and independent-pair model

Levente Szasz, John Frederick Schroeder

Annals of Physics•Nov 1, 1971•6 citations

A generalized Hartree-Fock-Bogoliubov approach for the description of band structures in nuclei

D. Janssen

Nuclear Physics A•Nov 1, 1979•9 citations

Post Hartree-Fock I: full configuration interaction

Qiming Sun

Theoretical and computational chemistry•Jan 1, 2025•0 citations

Particle-number projection in the finite-temperature mean-field approximation

P. Fanto, Y. Alhassid, G. F. Bertsch

Finite-temperature mean-field theories, such as the Hartree--Fock (HF) and Hartree--Fock--Bogoliubov (HFB) theories, are formulated in the grand-canonical ensemble, and their applications to the calculation of statistical properties of nuclei such as level densities require a reduction to the canonical ensemble. In a previous publication [Y. Alhassid et al., Phys. Rev. C 93, 044320 (2016)], it was found that ensemble-reduction methods based on the saddle-point approximation are not reliable in cases in which rotational symmetry or particle-number conservation is broken. In particular, the calculated HFB canonical entropy can be unphysical as a result of the inherent violation of particle-number conservation. In this work, we derive a general formula for exact particle-number projection after variation in the HFB approximation, assuming that the HFB Hamiltonian preserves time-reversal symmetry. This formula reduces to simpler known expressions in the HF and Bardeen--Cooper--Schrieffer (BCS) limits of the HFB. We apply this formula to calculate the thermodynamic quantities needed for level densities in the heavy nuclei $^{162}\mathrm{Dy}, ^{148}\mathrm{Sm}$, and $^{150}\mathrm{Sm}$. We find that the exact particle-number projection gives better physical results and is significantly more computationally efficient than the saddle-point methods. However, the fundamental limitations caused by broken symmetries in the mean-field approximation are still present.

arXiv:1610.08954•Physical Review C•Jul 7, 2017•18 citations

Excited States in Hartree-Fock Theory

Antonios Gonis

Computational Materials Science•Jan 1, 2021•0 citations
Finite-temperature mean-field theories, such as the Hartree--Fock (HF) and Hartree--Fock--Bogoliubov (HFB) theories, are formulated in the grand-canonical ensemble, and their applications to the calculation of statistical properties of nuclei such as level densities require a reduction to the canonical ensemble. In a previous publication [Y. Alhassid et al., Phys. Rev. C 93, 044320 (2016)], it was found that ensemble-reduction methods based on the saddle-point approximation are not reliable in cases in which rotational symmetry or particle-number conservation is broken. In particular, the calculated HFB canonical entropy can be unphysical as a result of the inherent violation of particle-number conservation. In this work, we derive a general formula for exact particle-number projection after variation in the HFB approximation, assuming that the HFB Hamiltonian preserves time-reversal symmetry. This formula reduces to simpler known expressions in the HF and Bardeen--Cooper--Schrieffer (BCS) limits of the HFB. We apply this formula to calculate the thermodynamic quantities needed for level densities in the heavy nuclei 162Dy,148Sm^{162}\mathrm{Dy}, ^{148}\mathrm{Sm}162Dy,148Sm, and 150Sm^{150}\mathrm{Sm}150Sm. We find that the exact particle-number projection gives better physical results and is significantly more computationally efficient than the saddle-point methods. However, the fundamental limitations caused by broken symmetries in the mean-field approximation are still present.