6,283 research outputs found
Comment on "Magnetic response of Disordered Metallic Rings: Large Contributions of Far Levels"
Comment on cond-mat/0205390; PRL 90, 026805 (2003
Sum rules for spin-Hall conductivity cancelation
It has been shown recently that the universal dc spin conductivity of
two-dimensional electrons with a Rashba spin-orbit interaction is canceled by
vertex corrections in a weak scattering regime. We prove that the zero bulk
spin conductivity is an intrinsic property of the free-electron Hamiltonian and
scattering is merely a tool to reveal this property in terms of the
diagrammatic technique. When Zeeman energy is neglected, the zero dc
conductivity persists in a magnetic field. Spin conductivity increases
resonantly at the cyclotron frequency and then decays towards the universal
value.Comment: 4 pages, 1 figur
Crossover from diffusive to non-diffusive dynamics in the two-dimensional electron gas with Rashba spin-orbit coupling
We present the calculation of the density matrix response function of the
two-dimensional electron gas with Rashba spin-orbit interaction, which is
applicable in a wide range of parameters covering the diffusive and
non-diffusive, the dirty and the clean limits. A description of the crossover
between the different regimes is thus provided as well. On the basis of the
derived microscopic expressions we study the propagating charge and
spin-polarization modes in the clean, non-diffusive regime, which is accessible
in the modern experiments.Comment: 8 pages, 6 figures, a considerable extension of the first versio
Spin-orbit coupling in a Quantum Dot at high magnetic field
We describe the simultaneous effects of the spin-orbit (SO) perturbation and
a magnetic field on a disk shaped quantum dot (QD). {As it is known the}
combination of electrostatic forces among the electrons confined in the QD
and the Pauli principle can induce a spin polarization when (applied in the
direction orthogonal to the QD) is above a threshold value. In the presence of
an electric field parallel to , coupled to the spin by a Rashba term,
we demonstrate that a symmetry breaking takes place: we can observe it by
analyzing the splitting of the levels belonging to an unperturbed multiplet. We
also discuss the competitive effects of the magnetic field, the SO perturbation
and the electron electron interaction, in order to define the hierarchy of the
states belonging to a multiplet. We demonstrate how this hierarchy depends on
the QD's size. We show the spin texture due to the combined effects of the
Rashba effect and the interaction responsible for the polarization.Comment: 8 pages, 3 figures, PACS: 73.21.La,71.15.Mb,75.75.+
Integer Spin Hall Effect in Ballistic Quantum Wires
We investigate the ballistic electron transport in a two dimensional Quantum
Wire under the action of an electric field (). We demonstrate how the
presence of a Spin Orbit coupling, due to the uniform electric confinement
field gives a non-commutative effect as in the presence of a transverse
magnetic field.
We discuss how the non commutation implies an edge localization of the
currents depending on the electron spins also giving a semi-classical spin
dependent Hall current.
We also discuss how it is possible obtain a quantized Spin Hall conductance
in the ballistic transport regime by developing the Landauer formalism and show
the coupling between the spin magnetic momentum and the orbital one due to the
presence of a circulating current.Comment: 7 pages, 5 figures, accepted for publication in Phys. Rev. B, PACS:
72.25.-b, 72.10.-d, 72.15.Rn, 73.23.-b, 71.10.P
Modeling the Daily Variations of the Coronal X-ray Spectral Irradiance with Two Temperatures and Two Emission Measures
The Miniature X-ray Solar Spectrometer (MinXSS-1) CubeSat observed solar
X-rays between 0.5 and 10 keV. A two-temperature, two-emission measure model is
fit to each daily averaged spectrum. These daily average temperatures and
emission measures are plotted against the corresponding daily solar 10.7 cm
radio flux (F10.7) value and a linear correlation is found between each that we
call the Schwab Woods Mason (SWM) model. The linear trends show that one can
estimate the solar spectrum between 0.5 keV and 10 keV based on the F10.7
measurement alone. The cooler temperature component of this model represents
the quiescent sun contribution to the spectra and is essentially independent of
solar activity, meaning the daily average quiescent sun is accurately described
by a single temperature (1.70 MK) regardless of solar intensity and only the
emission measure corresponding to this temperature needs to be adjusted for
higher or lower solar intensity. The warmer temperature component is shown to
represent active region contributions to the spectra and varies between 5 MK to
6 MK. GOES XRS-B data between 1-8 Angstroms is used to validate this model and
it is found that the ratio between the SWM model irradiance and the GOES XRS-B
irradiance is close to unity on average. MinXSS-1 spectra during quiescent
solar conditions have very low counts beyond around 3 keV. The SWM model can
generate MinXSS-1 or DAXSS spectra at very high spectral resolution and with
extended energy ranges to fill in gaps between measurements and extend
predictions back to 1947
Connecting biodiversity monitoring with soil inventory information - A Swiss case study
Switzerland is one of the first countries in the world to monitor its biological diversity. The Federal Office for the environment (FOEN), triggered by the Rio world summit, initiated 1995 a program for this purpose called Biodiversity Monitoring in Switzerland (BDM). According to the Convention on Biological Diversity various biodiversity targets were defined and the action plan strategy biodiversity Switzerland serves to implement these strategic goals. Unfortunately, up to very recently, soil was not part of these considerations.
In the Swiss biodiversity monitoring system a core indicator, species diversity in habitats, is designed to document changes in species diversity of vascular plants and mosses in Switzerland’s major habitats. Together with the current land use and general metadata like elevation, slope, exposition and geology these data are stored in a central database. Since 2001 the totally 1’600 sites based on a regular grid (6 by 4 km) are resampled in a 5 years interval. In the third sampling campaign (2011-2015) the setting was broadened by taking soil samples at all locations possible. At each site 4 replicates 0-20 cm were taken to provide predictions on plot scale variability. All samples were prepared in the laboratory of the Swiss Soil Monitoring Network. Exploratory data analyses for pH, soil organic carbon and nitrogen revealed distinct patterns according to land use as well as to altitude; pH decreases from colline to alpine zones. Furthermore, regional analyses show enormous differences between the northern and southern side of the Alps.
Connecting measured soil parameters with the outcome of the BDM survey enables to determine the impact of environmental conditions on species diversity of vascular plants and mosses as well as on soil-plant interactions. Therefore, connecting measured soil inventory data and plant and moss diversity information provide a clear added value to the Biodiversity Monitoring in Switzerland
Walker Design for Kinetic Assessment of Upper Extremity Joint Demands in Children with Osteogenesis Imperfecta
The Energetic Costs of Cellular Computation
Cells often perform computations in response to environmental cues. A simple
example is the classic problem, first considered by Berg and Purcell, of
determining the concentration of a chemical ligand in the surrounding media. On
general theoretical grounds (Landuer's Principle), it is expected that such
computations require cells to consume energy. Here, we explicitly calculate the
energetic costs of computing ligand concentration for a simple two-component
cellular network that implements a noisy version of the Berg-Purcell strategy.
We show that learning about external concentrations necessitates the breaking
of detailed balance and consumption of energy, with greater learning requiring
more energy. Our calculations suggest that the energetic costs of cellular
computation may be an important constraint on networks designed to function in
resource poor environments such as the spore germination networks of bacteria.Comment: 9 Pages (including Appendix); 4 Figures; v3 corrects even more typo
- …