A statistical theory of the mean field
R. Caracciolo, A. De Pace, H. Feshbach, A. Molinari
Abstract
A statistical theory of the mean field is developed. It is based on the proposition that the mean field can be obtained as an energy average. Moreover, it is assumed that the matrix elements of the residual interaction, obtained after the average interaction is removed, are random with the average value of zero. With these two assumptions one obtains explicit expressions for the mean field and the fluctuation away from the average. The fluctuation is expanded in terms of more and more complex excitations. Using the randomness of the matrix elements one can then obtain formulas for the contribution to the error from each class of complex excitations and a general condition for the convergence of the expansion is derived. It is to be emphasized that no conditions on the nature of the system being studied are made. Making some simplifying assumptions a schematic model is developed. This model is applied to the problem of nuclear matter. The model yields a measure of the strength of the effective interaction. It turns out to be three orders of magnitude less than that calculated using a potential which gives a binding energy of about -7 MeV/nucleon demonstrating the strong damping of the interaction strength induced by the averaging process.
Create a lesson
Related papers
Impact of ab initio E1 strength on neutron capture rates along the nickel isotopic chain
Francesca Bonaiti, Joanna E. Sobczyk
Final-state centrality in relativistic heavy-ion simulations from neural networks
Anibal Bezerra, Fernando G. Gardim
Constrained coupled-cluster computations yield negative-parity rotational bands
Gaute Hagen, Benjamin Bally, Thomas Papenbrock
Levy-shaped femtoscopic sources from an exact solution of relativistic hydrodynamics
Bence Szentkuti, Mate Csanad
Octupole correlations in the excited 0+ states and two-neutron transfers in actinide nuclei
Kosuke Nomura
Macroscopic study of ϕ-mesic nuclei in pp collisions at s = 7 TeV with the PACIAE model
Qiang Wang, Zhi-Lei She, An-Ke Lei et al.