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Science Highlights: High Energy and Nuclear Physics |
Monte Carlo Methods for Nuclear Structure | |||||||
We use a representation
of the many-body propagator (in imaginary time) in terms of a functional
integral over one-body propagators in fluctuating external fields, known
as the Hubbard-Stratonovich (HS) transformation. Monte Carlo methods are
used to perform the high-dimensional integration. A modification of the
Metropolis algorithm, based on Gaussian quadratures, improves the efficiency
of the Monte Carlo random walk. Various projection methods are implemented
in the HS representation. The calculations are done in the framework of
the nuclear shell model. Accomplishments
Using the Monte Carlo methods in the full fpg9/2-shell, we have calculated accurate level densities of nuclei in the iron region and found excellent agreement with experiment. We extracted single-particle level density and backshift parameters by fitting the calculated densities to a backshifted Bethe formula, and found new and interesting shell effects in the systematics of these parameters. We have used a particle-number reprojection method to calculate thermal observables (e.g., level densities) for a series of nuclei using a Monte Carlo sampling for a single nucleus. Level densities of odd-mass and odd-odd nuclei are reliably extracted despite a sign problem. Both the mass and isospin dependence of the experimental level densities are well described without any adjustable parameters. The single-particle level density parameter is found to vary smoothly with mass. The odd-even staggering observed in the calculated backshift parameter follows the experimental data more closely than do empirical formulas.
Y. Alhassid, "Monte Carlo methods for the nuclear shell model: Recent applications," in Highlights of Modern Nuclear Structure: Proceedings of the 6th International Spring Seminar on Nuclear Physics, edited by Aldo Covello (World Scientific, Singapore, 1999). H. Nakada and Y. Alhassid, "Microscopic nuclear level densities from Fe to Ge by the shell model Monte Carlo method," Phys. Lett. B 436, 231 (1998). |
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