1,304 research outputs found
Extraction of nuclear matter properties from nuclear masses by a model of equation of state
The extraction of nuclear matter properties from measured nuclear masses is
investigated in the energy density functional formalism of nuclei. It is shown
that the volume energy and the nuclear incompressibility depend
essentially on , whereas the symmetry energy
and the density symmetry coefficient as well as symmetry incompressibility
depend essentially on , where
, and are the
neutron and proton chemical potentials respectively, the nuclear energy,
and the Coulomb energy. The obtained symmetry energy is ,
while other coefficients are uncertain within ranges depending on the model of
nuclear equation of state.Comment: 12 pages and 7 figure
Reenchanting International Law
Law and Religion Symposiu
Is Law - Constitutional Crisis and Existential Anxiety
In the recurring discussions of constitutional crises, one may find three forms of existential anxiety. The first, and most fleeting, is an anxiety about the continued existence of the nation. A second form of anxiety—to my mind, the most interesting form—is an anxiety about the possibility of the rule of law itself. Third, and most solipsistically, references to crisis in constitutional law scholarship could be the product of a kind of professional anxiety in the legal academy. We may be asking ourselves, “Constitutional theory: what is it good for?” and worrying that the answer is, “Absolutely nothing.” And yet, I argue, existential anxiety is not always to be regretted, cured, or mocked. Indeed, it may serve as a valuable reminder of the difficulty—and necessity—of giving law to oneself
BRST Analysis of Physical States in Two-Dimensional Black Hole
We study the BRST cohomology for coset model, which describes
an exact string black hole solution. It is shown that the physical spectrum
could contain not only the extra discrete states corresponding to those in
two-dimensional gravity but also many additional new states with ghost
number . We also discuss characters for nonunitary
representations and the relation of our results to other approaches.Comment: 44 pages, OS-GE 28-93, OU-HET 17
Ambiguous model learning made unambiguous with 1/f priors
What happens to the optimal interpretation of noisy data when there exists
more than one equally plausible interpretation of the data? In a Bayesian
model-learning framework the answer depends on the prior expectations of the
dynamics of the model parameter that is to be inferred from the data. Local
time constraints on the priors are insufficient to pick one interpretation over
another. On the other hand, nonlocal time constraints, induced by a noise
spectrum of the priors, is shown to permit learning of a specific model
parameter even when there are infinitely many equally plausible interpretations
of the data. This transition is inferred by a remarkable mapping of the model
estimation problem to a dissipative physical system, allowing the use of
powerful statistical mechanical methods to uncover the transition from
indeterminate to determinate model learning.Comment: 8 pages, 2 figure
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