252 research outputs found
Super-Poissonian shot noise of squeezed-magnon mediated spin transport
The magnetization of a ferromagnet (F) driven out of equilibrium injects pure
spin current into an adjacent conductor (N). Such FN bilayers have become
basic building blocks in a wide variety of spin based devices. We evaluate the
shot noise of the spin current traversing the FN interface when F is
subjected to a coherent microwave drive. We find that the noise spectrum is
frequency independent up to the drive frequency, and increases linearly with
frequency thereafter. The low frequency noise indicates super-Poissonian spin
transfer, which results from quasi-particles with effective spin . For typical ferromagnetic thin films, is
related to the dipolar interaction-mediated squeezing of F eigenmodes.Comment: 4 pages, 2 figure
Spin pumping and shot noise in ferrimagnets: bridging ferro- and antiferromagnets
A combination of novel technological and fundamental physics prospects has
sparked a huge interest in pure spin transport in magnets, starting with
ferromagnets and spreading to antiferro- and ferrimagnets. We present a
theoretical study of spin transport across a ferrimagnetnon-magnetic
conductor interface, when a magnetic eigenmode is driven into a coherent state.
The obtained spin current expression includes intra- as well as
cross-sublattice terms, both of which are essential for a quantitative
understanding of spin-pumping. The dc current is found to be sensitive to the
asymmetry in interfacial coupling between the two sublattice magnetizations and
the mobile electrons, especially for antiferromagnets. We further find that the
concomitant shot noise provides a useful tool for probing the quasiparticle
spin and interfacial coupling.Comment: 4 pages + supplementary materia
Magnon-mediated spin current noise in ferromagnetnon-magnetic conductor hybrids
The quantum excitations of the collective magnetization dynamics in a
ferromagnet (F) - magnons - enable spin transport without an associated charge
current. This pure spin current can be transferred to electrons in an adjacent
non-magnetic conductor (N). We evaluate the finite temperature noise of the
magnon-mediated spin current injected into N by an adjacent F driven by a
coherent microwave field. We find that the dipolar interaction leads to
squeezing of the magnon modes giving them wavevector dependent non-integral
spin, which directly manifests itself in the shot noise. For temperatures
higher than the magnon gap, the thermal noise is dominated by large wavevector
magnons which exhibit negligible squeezing. The noise spectrum is white up to
the frequency corresponding to the maximum of the temperature or the magnon
gap. At larger frequencies, the noise is dominated by vacuum fluctuations. The
shot noise is found to be much larger than its thermal counterpart over a broad
temperature range, making the former easier to be measured experimentally
Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization
We address the problem of scene classification from optical remote sensing
(RS) images based on the paradigm of hierarchical metric learning. Ideally,
supervised metric learning strategies learn a projection from a set of training
data points so as to minimize intra-class variance while maximizing inter-class
separability to the class label space. However, standard metric learning
techniques do not incorporate the class interaction information in learning the
transformation matrix, which is often considered to be a bottleneck while
dealing with fine-grained visual categories. As a remedy, we propose to
organize the classes in a hierarchical fashion by exploring their visual
similarities and subsequently learn separate distance metric transformations
for the classes present at the non-leaf nodes of the tree. We employ an
iterative max-margin clustering strategy to obtain the hierarchical
organization of the classes. Experiment results obtained on the large-scale
NWPU-RESISC45 and the popular UC-Merced datasets demonstrate the efficacy of
the proposed hierarchical metric learning based RS scene recognition strategy
in comparison to the standard approaches.Comment: Undergoing revision in GRS
Evaluating Responses to Offshore Tax Evasion: A Comparative Analysis of Legislative Reforms in the USA and Canada Post-Panama Papers
Following the revelations from the Panama Papers and other significant leaks, there has been a marked increase in public calls for nations to address tax evasion more effectively. This period has witnessed an unparalleled expansion in global cooperation regarding tax matters, leading to significant strides toward mitigating offshore tax evasion. In this evolving landscape, the focus shifts to North America, where both Canada and the United States have stepped up their efforts to curb tax evasion. They have updated their legal frameworks, enhanced enforcement tactics, and strengthened tax authorities\u27 investigative capabilities. This research delves into the legislative actions taken by the USA and Canada in response to the challenges of offshore tax evasion, employing a comparative analysis to scrutinize the effectiveness and hurdles of these measures. By examining a wide array of sources, including literature, policy documents, and reports, the study aims to evaluate how both countries have revised their tax laws and introduced new strategies to tackle tax evasion. The emphasis will be on assessing the impact of these legislative changes on curbing offshore tax evasion and identifying the challenges in enforcing these laws. This investigation seeks to shed light on the comparative effectiveness of the strategies deployed by the USA and Canada, offering valuable insights into addressing a critical issue in international finance and tax regulation. This paper also provides limitations of the literature evidence for evaluating tax evasion and a research guideline for further work to be performed in this area of study. To enhance the practical understanding of the key points discussed in this thesis, a detailed case study has been prepared and included in Appendix A
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