15,799 research outputs found
The effects of optically induced non-Abelian gauge field in cold atoms
We show that degenerate dark states can be generated by coupling
-fold degenerate ground states and a common excited state with laser
fields. Interferences between light waves with different frequencies can
produce laser fields with time-dependent amplitudes, which can induce not only
U(N) non-Abelian vector fields but also the scalar ones for the adiabatic
motion of atoms in such laser fields. As an example, a time-periodic gauge
potential is produced by applying specific laser fields to a tripod system.
Some features of the Landau levels and the ground-state phase diagram of a
rotating Bose-Einstein condensate for a concrete gauge field are also
discussed.Comment: Revtex 6 pages, 2 figures, version to be published in PR
Vertex-Coloring 2-Edge-Weighting of Graphs
A -{\it edge-weighting} of a graph is an assignment of an integer
weight, , to each edge . An edge weighting naturally
induces a vertex coloring by defining for every
. A -edge-weighting of a graph is \emph{vertex-coloring} if
the induced coloring is proper, i.e., for any edge .
Given a graph and a vertex coloring , does there exist an
edge-weighting such that the induced vertex coloring is ? We investigate
this problem by considering edge-weightings defined on an abelian group.
It was proved that every 3-colorable graph admits a vertex-coloring
-edge-weighting \cite{KLT}. Does every 2-colorable graph (i.e., bipartite
graphs) admit a vertex-coloring 2-edge-weighting? We obtain several simple
sufficient conditions for graphs to be vertex-coloring 2-edge-weighting. In
particular, we show that 3-connected bipartite graphs admit vertex-coloring
2-edge-weighting
Algebraic multigrid preconditioners for two-phase flow in porous media with phase transitions
Multiphase flow is a critical process in a wide range of applications,
including oil and gas recovery, carbon sequestration, and contaminant
remediation. Numerical simulation of multiphase flow requires solving of a
large, sparse linear system resulting from the discretization of the partial
differential equations modeling the flow. In the case of multiphase
multicomponent flow with miscible effect, this is a very challenging task. The
problem becomes even more difficult if phase transitions are taken into
account. A new approach to handle phase transitions is to formulate the system
as a nonlinear complementarity problem (NCP). Unlike in the primary variable
switching technique, the set of primary variables in this approach is fixed
even when there is phase transition. Not only does this improve the robustness
of the nonlinear solver, it opens up the possibility to use multigrid methods
to solve the resulting linear system. The disadvantage of the complementarity
approach, however, is that when a phase disappears, the linear system has the
structure of a saddle point problem and becomes indefinite, and current
algebraic multigrid (AMG) algorithms cannot be applied directly. In this study,
we explore the effectiveness of a new multilevel strategy, based on the
multigrid reduction technique, to deal with problems of this type. We
demonstrate the effectiveness of the method through numerical results for the
case of two-phase, two-component flow with phase appearance/disappearance. We
also show that the strategy is efficient and scales optimally with problem
size
Conversion of K-Rb mixtures into stable molecules
We study the conversion of K and Rb atoms into stable molecules
through the stimulated Raman adiabatic passage (STIRAP) in photoassociation
assisted with Feshbach resonance. Starting with the mean-field Langrange
density, we show that the atom-to-molecule conversion efficiency by STIRAP
aided by Feshbach resonance is much larger than that by bare Feshbach
resonance. We also study the influence of the population imbalance on the
atom-to-molecule conversion.Comment: Revtex, 5 pages, 3 figures; version to appear in PRA (some content
changed
Smart Pacing for Effective Online Ad Campaign Optimization
In targeted online advertising, advertisers look for maximizing campaign
performance under delivery constraint within budget schedule. Most of the
advertisers typically prefer to impose the delivery constraint to spend budget
smoothly over the time in order to reach a wider range of audiences and have a
sustainable impact. Since lots of impressions are traded through public
auctions for online advertising today, the liquidity makes price elasticity and
bid landscape between demand and supply change quite dynamically. Therefore, it
is challenging to perform smooth pacing control and maximize campaign
performance simultaneously. In this paper, we propose a smart pacing approach
in which the delivery pace of each campaign is learned from both offline and
online data to achieve smooth delivery and optimal performance goals. The
implementation of the proposed approach in a real DSP system is also presented.
Experimental evaluations on both real online ad campaigns and offline
simulations show that our approach can effectively improve campaign performance
and achieve delivery goals.Comment: KDD'15, August 10-13, 2015, Sydney, NSW, Australi
The role of inter-well tunneling strength on coherence dynamics of two-species Bose-Einstein condensates
Coherence dynamics of two-species Bose-Einstein condensates in double wells
is investigated in mean field approximation. We show that the system can
exhibit decoherence phenomena even without the condensate-environment coupling
and the variation tendency of the degree of coherence depends on not only the
parameters of the system but also the initial states. We also investigate the
time evolution of the degree of coherence for a Rosen-Zener form of tunneling
strength, and propose a method to get a condensate system with certain degree
of coherence through a time-dependent tunneling strength
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