14,446 research outputs found
Green's functions technique for calculating the emission spectrum in a quantum dot-cavity system
We introduce the Green's functions technique as an alternative theory to the
quantum regression theorem formalism for calculating the two-time correlation
functions in open quantum systems. In particular, we investigate the potential
of this theoretical approach by its application to compute the emission
spectrum of a dissipative system composed by a single quantum dot inside of a
semiconductor cavity. We also describe a simple algorithm based on the Green's
functions technique for calculating the emission spectrum of the quantum dot as
well as of the cavity which can easily be implemented in any numerical linear
algebra package. We find that the Green's functions technique demonstrates a
better accuracy and efficiency in the calculation of the emission spectrum and
it allows to overcome the inherent theoretical difficulties associated to the
direct application of the quantum regression theorem approach
Gallium Arsenide solar cell radiation damage experiment
Gallium arsenide (GaAs) solar cells for space applications from three different manufactures were irradiated with 10 MeV protons or 1 MeV electrons. The electrical performance of the cells was measured at several fluence levels and compared. Silicon cells were included for reference and comparison. All the GaAs cell types performed similarly throughout the testing and showed a 36 to 56 percent power areal density advantage over the silicon cells. Thinner (8-mil versus 12-mil) GaAs cells provide a significant weight reduction. The use of germanium (Ge) substrates to improve mechanical integrity can be implemented with little impact on end of life performance in a radiation environment
Study of Xenopus orthologs of novel genes expressed in the mouse AVE
info:eu-repo/semantics/publishedVersio
Signal processing in local neuronal circuits based on activity-dependent noise and competition
We study the characteristics of weak signal detection by a recurrent neuronal
network with plastic synaptic coupling. It is shown that in the presence of an
asynchronous component in synaptic transmission, the network acquires
selectivity with respect to the frequency of weak periodic stimuli. For
non-periodic frequency-modulated stimuli, the response is quantified by the
mutual information between input (signal) and output (network's activity), and
is optimized by synaptic depression. Introducing correlations in signal
structure resulted in the decrease of input-output mutual information. Our
results suggest that in neural systems with plastic connectivity, information
is not merely carried passively by the signal; rather, the information content
of the signal itself might determine the mode of its processing by a local
neuronal circuit.Comment: 15 pages, 4 pages, in press for "Chaos
Density operator of a system pumped with polaritons: A Jaynes-Cummings like approach
We investigate the effects of considering two different incoherent pumpings
over a microcavity-quantum dot system modelled using the Jaynes-Cummings
Hamiltonian. When the system is incoherently pumped with polaritons it is able
to sustain a large number of photons inside the cavity with Poisson-like
statistics in the stationary limit, and also leads to a separable
exciton-photon state. We also investigate the effects of both types of pumpings
(Excitonic and Polaritonic) in the emission spectrum of the cavity. We show
that the polaritonic pumping as considered here is unable to modify the
dynamical regimes of the system as the excitonics pumping does. Finally, we
obtain a closed form expression for the negativity of the density matrices that
the quantum master equation considered here generates.Comment: 16 pages, 4 figure
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