Fermi hypernetted-chain calculation of the half-diagonal two-body density matrix of model nuclear matter

2001 ◽  
Vol 64 (2) ◽  
Author(s):  
M. Petraki ◽  
E. Mavrommatis ◽  
J. W. Clark
2020 ◽  
Vol 6 ◽  
pp. 58
Author(s):  
M. Petraki ◽  
E. Mavrommatis ◽  
J. W. Clark

The half-diagonal two-body density matrix ρ_{2h}/i(r1,r2,r') plays a central role in most theoretical treatments of the propagation of ejected nucléons and their final state interactions (FSI) in the nuclear medium. In this work based on the analysis of Ristig and Clark, we present the results of a Fermi hypernetted-chain calculation ρ_{2h}/i(r1,r2,r') for infinite symmetrical nuclear matter using a Jastrow-correlated model. The dependence of ρ_{2h} on the variables involved has been investigated in detail. Significant departures from ideal Fermi gas behavior in certain domains demonstrate the importance of short-range correlations. A comparison of our results with the predictions of Silver's approximation to ρ_{2h}, which has been employed in some treatments of FSI, reveals certain shortcomings of this approximation. The Fermi hypernetted-chain results obtained here will serve as a key input to an approximate treatment of FSI in inclusive quasielastic electron scattering from nuclear matter.


2019 ◽  
Vol 3 ◽  
pp. 88
Author(s):  
E. Mavromanatis ◽  
Μ. Petraki ◽  
J. W. Clark

A lowest-cluster-order variational calculation of the half-diagonal two-body density matrix ρ2(r1,r2,r’1) and the corresponding generalized momentum distribution n(p.Q) is performed for three representative models of nuclear matter containing central correlations. Dynamical correlations produce significant deviations from the results for a noninteracting Fermi gas. Calculations axe in progress that include higherorder cluster corrections as well as state-dependent correlations


2020 ◽  
Vol 2 ◽  
pp. 15
Author(s):  
E. Mavrommatis ◽  
M. Petraki ◽  
J. W. Clark ◽  
N. H. Kwong

We present a summary of on-going calculations that address the static and dynamic structure of nuclear matter. Specific projects include (i) evaluation of the density-density response function and corresponding dynamic structure factor, based on the correlated random-phase approximation (CRPA_I) and generalizations of this method, and (ii) low-order variational calculation of the reduced two-body density matrix and corresponding generalized momentum distribution. The numerical applications involve the model interaction V2.


2020 ◽  
Vol 5 ◽  
pp. 139
Author(s):  
E. Mavrommatis ◽  
M. Petraki ◽  
J. W. Clark

Valuable information on the correlation structure of the nuclear medium is stored in the generalized momentum distribution n(p,Q), the Fourier transform of the half-diagonal two-body density matrix ρ_{2η}(r_1,r_2,r'). In this paper, we present a numerical calculation of n(p,Q) for two Jastrow-correlated models of symmetrical nuclear matter based on the structural decomposition of n(p,Q) derived by Ristig and Clark and on a Fermi-hypernetted-chain procedure. Results exhibit significant departures from the ideal Fermi gas case in certain kinematic domains; this behaviour indicates the strong short-range correlations present in these models. Nevertheless, such deviations are less prominent than in earlier low- cluster-order calculations. The results are also used to judge the quality of Silver's approximation for n(p,Q).


Author(s):  
Phan Thành Nam ◽  
Marcin Napiórkowski

AbstractWe consider the homogeneous Bose gas on a unit torus in the mean-field regime when the interaction strength is proportional to the inverse of the particle number. In the limit when the number of particles becomes large, we derive a two-term expansion of the one-body density matrix of the ground state. The proof is based on a cubic correction to Bogoliubov’s approximation of the ground state energy and the ground state.


2020 ◽  
Vol 224 ◽  
pp. 265-291 ◽  
Author(s):  
Jack Wetherell ◽  
Andrea Costamagna ◽  
Matteo Gatti ◽  
Lucia Reining

Deep-learning constraints of the one-body reduced density matrix from its compressibility to enable efficient determination of key observables.


2000 ◽  
Vol 665 (3-4) ◽  
pp. 291-317 ◽  
Author(s):  
V.B. Soubbotin ◽  
X. Viñas

1977 ◽  
Vol 20 (9) ◽  
pp. 313-318 ◽  
Author(s):  
K. E. Kürten ◽  
M. L. Ristig ◽  
J. W. Clark

1976 ◽  
Vol 63 (3) ◽  
pp. 269-272 ◽  
Author(s):  
E. Krotscheck ◽  
K. Takahashi

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