9,228 research outputs found
Higgs amplitude mode in massless Dirac fermion systems
The Higgs amplitude mode in superconductors is the condensed matter analogy
of Higgs bosons in particle physics. We investigate the time evolution of Higgs
amplitude mode in massless Dirac systems, induced by a weak quench of an
attractive interaction. We find that the Higgs amplitude mode in the
half-filling honeycomb lattice has a logarithmic decaying behaviour,
qualitatively different from the decay in the normal
superconductors. Our study is also extended to the doped cases in honeycomb
lattice. As for the 3D Dirac semimetal at half filling, we obtain an undamped
oscillation of the amplitude mode. Our finding is not only an important
supplement to the previous theoretical studies on normal fermion systems, but
also provide an experimental signature to characterize the superconductivity in
2D or 3D Dirac systems.Comment: 6 pages, 8 figure
The transport properties of Floquet topological superconductors at the transition from the topological phase to the Anderson localized phase
The Floquet topological superconducting state is a nonequilibrium
time-periodic state hosting Majorana fermions. We study its transport
properties by using the Kitaev model with time-periodic incommensurate
potentials, which experiences phase transition from the Floquet topological
superconducting phase to the Anderson localized phase with increasing driving
strength. We study both the real time dynamics of the current and the
non-analytic behavior of the tunneling conductance at the transition.
Especially, we find that the tunneling conductance changes continuously at the
transition, being a finite value in the presence of Floquet Majorana fermions,
but dropping to zero as the Majorana fermions vanish. For a special choice of
parameters, the Majorana fermions revive at larger driving strength,
accompanied by the revival of conductances.Comment: 8 pages, 5 figure
Transient heat generation in a quantum dot under a step-like pulse bias
We study the transient heat generation in a quantum dot system driven by a
step-like or a square-shaped pulse bias. We find that a periodically
oscillating heat generation arises after adding the sudden bias. One
particularly surprising result is that there exists a heat absorption from the
zero-temperature phonon subsystem. Thus the phonon population in
non-equilibrium can be less than that of the equilibrium electron-phonon
system. In addition, we also ascertain the optimal conditions for the operation
of a quantum dot with the minimum heat generation.Comment: 6 pages, 4 figure
Cosmic Histories of Stars, Gas, Heavy Elements, and Dust
We present a set of coupled equations that relate the stellar, gaseous,
chemical, and radiation constituents of the universe averaged over the whole
galaxy population. Using as input the available data from quasar
absorption-line surveys, optical imaging and redshift surveys, and the COBE
DIRBE and FIRAS extragalactic infrared background measurements, we obtain
solutions for the cosmic histories of stars, interstellar gas, heavy elements,
dust, and radiation from stars and dust in galaxies. Our solutions reproduce
remarkably well a wide variety of observations that were not used as input,
including the integrated background light from galaxy counts, the optical and
near-infrared emissivities from galaxy surveys, the local infrared emissivities
from the IRAS survey, the mean abundance of heavy elements from surveys of
damped Lyman-alpha systems, and the global star formation rates from H
surveys and submillimeter observations. The solutions presented here suggest
that the process of galaxy formation appears to have undergone an early period
of substantial inflow to assemble interstellar gas at , a subsequent
period of intense star formation and chemical enrichment at , and a recent period of rapid decline in the gas content, star
formation rate, optical stellar emissivity, and infrared dust emission at
. [abridged version]Comment: 29 pages, ApJ in press, 10 Sept 9
Theories for influencer identification in complex networks
In social and biological systems, the structural heterogeneity of interaction
networks gives rise to the emergence of a small set of influential nodes, or
influencers, in a series of dynamical processes. Although much smaller than the
entire network, these influencers were observed to be able to shape the
collective dynamics of large populations in different contexts. As such, the
successful identification of influencers should have profound implications in
various real-world spreading dynamics such as viral marketing, epidemic
outbreaks and cascading failure. In this chapter, we first summarize the
centrality-based approach in finding single influencers in complex networks,
and then discuss the more complicated problem of locating multiple influencers
from a collective point of view. Progress rooted in collective influence
theory, belief-propagation and computer science will be presented. Finally, we
present some applications of influencer identification in diverse real-world
systems, including online social platforms, scientific publication, brain
networks and socioeconomic systems.Comment: 24 pages, 6 figure
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