7,062 research outputs found
Phase separation in the trapped spinor gases with anisotropic spin-spin interaction
We investigate the effect of the anisotropic spin-spin interaction on the
ground state density distribution of the one dimensional spin-1 bosonic gases
within a modified Gross-Pitaevskii theory both in the weakly interaction regime
and in the Tonks-Girardeau (TG) regime. We find that for ferromagnetic spinor
gas the phase separation occurs even for weak anisotropy of the spin-spin
interaction, which becomes more and more obvious and the component of
diminishes as the anisotropy increases. However, no phase separation is found
for anti-ferromagnetic spinor gas in both regimes.Comment: 5pages, 4 figure
-scaling and Information Entropy in Ultra-Relativistic Nucleus-Nucleus Collisions
The -scaling method has been applied to ultra-relativistic p+p, C+C
and Pb+Pb collision data simulated using a high energy Monte Carlo package,
LUCIAE 3.0. The -scaling is found to be valid for some physical
variables, such as charged particle multiplicity, strange particle multiplicity
and number of binary nucleon-nucleon collisions from these simulated
nucleus-nucleus collisions over an extended energy ranging from = 20
to 200 A GeV. In addition we derived information entropy from the multiplicity
distribution as a function of beam energy for these collisions.Comment: 4 pages, 4 figures, 1 table; to appear in the July Issue of Chin.
Phys. Lett.. Web Page: http://www.iop.org/EJ/journal/CP
A survey of localization in wireless sensor network
Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network
Two-dimensional Transport Induced Linear Magneto-Resistance in Topological Insulator BiSe Nanoribbons
We report the study of a novel linear magneto-resistance (MR) under
perpendicular magnetic fields in Bi2Se3 nanoribbons. Through angular dependence
magneto-transport experiments, we show that this linear MR is purely due to
two-dimensional (2D) transport, in agreement with the recently discovered
linear MR from 2D topological surface state in bulk Bi2Te3, and the linear MR
of other gapless semiconductors and graphene. We further show that the linear
MR of Bi2Se3 nanoribbons persists to room temperature, underscoring the
potential of exploiting topological insulator nanomaterials for room
temperature magneto-electronic applications.Comment: ACS Nano, in pres
Measurement of proton electromagnetic form factors in in the energy region 2.00-3.08 GeV
The process of is studied at 22 center-of-mass
energy points () from 2.00 to 3.08 GeV, exploiting 688.5~pb of
data collected with the BESIII detector operating at the BEPCII collider. The
Born cross section~() of is
measured with the energy-scan technique and it is found to be consistent with
previously published data, but with much improved accuracy. In addition, the
electromagnetic form-factor ratio () and the value of the
effective (), electric () and magnetic () form
factors are measured by studying the helicity angle of the proton at 16
center-of-mass energy points. and are determined with
high accuracy, providing uncertainties comparable to data in the space-like
region, and is measured for the first time. We reach unprecedented
accuracy, and precision results in the time-like region provide information to
improve our understanding of the proton inner structure and to test theoretical
models which depend on non-perturbative Quantum Chromodynamics
Quantifying risk factors and potential geographic extent of African swine fever across the world
African swine fever (ASF) has spread to many countries in Africa, Europe and Asia in the past decades. However, the potential geographic extent of ASF infection is unknown. Here we combined a modeling framework with the assembled contemporary records of ASF cases and multiple covariates to predict the risk distribution of ASF at a global scale. Local spatial variations in ASF risk derived from domestic pigs is influenced strongly by livestock factors, while the risk of having ASF in wild boars is mainly associated with natural habitat covariates. The risk maps show that ASF is to be ubiquitous in many areas, with a higher risk in areas in the northern hemisphere. Nearly half of the world’s domestic pigs (1.388 billion) are in the high-risk zones. Our results provide a better understanding of the potential distribution beyond the current geographical scope of the disease
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