8,471 research outputs found
A variational approach to the low energy properties of even-legged d-dimensional quantum spin systems
We develop a variational formalism in order to study the structure of low
energy spectra of frustrated quantum spin systems. It is first applied to trial
wavefunctions of ladders with one spin-1/2 on each site. We determine energy
minima of these states. The variational ground state shows a finite energy gap
with respect to the energies of states which span the Hilbert space and are
orthogonal to it. This is the case for any size of the system. Under some
justifiable approximations the argument can be extended to even-legged ladder
systems in 2d and higher dimensional spaces. The Hamiltonian can contain
spin-spin coupling interactions of any range. For specific values of the
coupling strengths level degeneracies can occur.Comment: 28 pages, 3 figure
ALICE light-flavor results at intermediate and high pT in p-Pb and Pb-Pb collisions
The ALICE experiment has unique capabilities for particle identification at
mid rapidity over a wide range of transverse momenta, making it an ideal tool
for comprehensive measurements of hadrons such as charged pions, kaons, and
protons as well as lambdas, K0s, and phi. The transverse momentum distributions
and nuclear modification factors, R_pPb and R_PbPb, of these hadrons measured
in p-Pb and Pb-Pb collisions are presented. Baryon-to-meson ratios exhibit a
multiplicity-dependent enhancement at intermediate transverse momenta for both
p-Pb and Pb-Pb collisions, while no significant dynamics is observed in the
ratios at larger transverse momenta. Finally, measurements of identified
particle ratios in association with high-pT particles as well as within
reconstructed jets are presented.Comment: Proceedings of Winter Workshop in Nuclear Dynamics (WWND) conference,
26-31 January, 201
A Renormalisation Approach to Effective Interactions in Hilbert Space
The low-lying bound states of a microscopic quantum many-body system of
particles and the related physical observables can be worked out in a truncated
--particle Hilbert space. We present here a non-perturbative analysis of
this problem which relies on a renormalisation concept and work out the link
with perturbative approaches.Comment: 5 pages, no figures, LateX fil
Is binary sequential decay compatible with the fragmentation of nuclei at high energy?
We use a binary sequential decay model in order to describe the fragmentation
of a nucleus induced by the high energy collisions of protons with Au nuclei.
Overall agreement between measured and calculated physical observables is
obtained. We evaluate and analyse the decay times obtained with two different
parametrisations of the decay rates and discuss the applicability of the model
to high energy fragmentation.Comment: 6 pages, 4 eps figures. Small changes at the end of the text. More
arguments are given in the discussion of the time scale of the proces
Robust distributed linear programming
This paper presents a robust, distributed algorithm to solve general linear
programs. The algorithm design builds on the characterization of the solutions
of the linear program as saddle points of a modified Lagrangian function. We
show that the resulting continuous-time saddle-point algorithm is provably
correct but, in general, not distributed because of a global parameter
associated with the nonsmooth exact penalty function employed to encode the
inequality constraints of the linear program. This motivates the design of a
discontinuous saddle-point dynamics that, while enjoying the same convergence
guarantees, is fully distributed and scalable with the dimension of the
solution vector. We also characterize the robustness against disturbances and
link failures of the proposed dynamics. Specifically, we show that it is
integral-input-to-state stable but not input-to-state stable. The latter fact
is a consequence of a more general result, that we also establish, which states
that no algorithmic solution for linear programming is input-to-state stable
when uncertainty in the problem data affects the dynamics as a disturbance. Our
results allow us to establish the resilience of the proposed distributed
dynamics to disturbances of finite variation and recurrently disconnected
communication among the agents. Simulations in an optimal control application
illustrate the results
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