A matrix diagonalization algorithm we developed in the past years has been revised and implemented for large scale shell model calculations using a spin uncoupled basis so as to obtain a sparse Hamiltonian matrix. The dimensions of such a matrix are reduced drastically by a procedure that combines an effective projection of the good angular momentum with an importance sampling specific of the method. Its numerical implementation on 116Sn illustrates the simplicity of the method and the fast convergence of the iterative procedure
Nuclear shell model is a powerful approach to investigate nuclear structure microscopically. However...
A method to accelerate the matrix-vector products of j-scheme nuclear Shell-Model Configuration Inte...
Obtaining highly accurate predictions on the properties of light atomic nuclei using the configurati...
A matrix diagonalization algorithm we developed in the past years has been revised and implemented f...
An upgraded version of an algorithm developed few years ago for diagonalizing large matrices has bee...
An importance sampling iterative algorithm for diagonalizing large matrices is upgraded and adopted ...
An importance-sampling iterative algorithm for diagonalizing shell model Hamiltonian matrices is rev...
We report on a shell model implementation of an iterative matrix diagonalization algorithm in the sp...
An iterative matrix diagonalization algorithm endowed with an importance sampling, recently reformul...
We present developments and applications for the diagonalization of shell-model hamiltonians in a di...
We present developments and applications for the diagonalization of shell-model hamiltonians in a di...
This paper presents the results of a large-scale shell model calculations of the yrast spectrum of 1...
Nuclear shell model is a powerful approach to investigate nuclear structure microscopically. However...
A method to accelerate the matrix-vector products of j-scheme nuclear Shell-Model Configuration Inte...
Obtaining highly accurate predictions on the properties of light atomic nuclei using the configurati...
A matrix diagonalization algorithm we developed in the past years has been revised and implemented f...
An upgraded version of an algorithm developed few years ago for diagonalizing large matrices has bee...
An importance sampling iterative algorithm for diagonalizing large matrices is upgraded and adopted ...
An importance-sampling iterative algorithm for diagonalizing shell model Hamiltonian matrices is rev...
We report on a shell model implementation of an iterative matrix diagonalization algorithm in the sp...
An iterative matrix diagonalization algorithm endowed with an importance sampling, recently reformul...
We present developments and applications for the diagonalization of shell-model hamiltonians in a di...
We present developments and applications for the diagonalization of shell-model hamiltonians in a di...
This paper presents the results of a large-scale shell model calculations of the yrast spectrum of 1...
Nuclear shell model is a powerful approach to investigate nuclear structure microscopically. However...
A method to accelerate the matrix-vector products of j-scheme nuclear Shell-Model Configuration Inte...
Obtaining highly accurate predictions on the properties of light atomic nuclei using the configurati...