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Mode Properties of Flat-top Silver Nano-ridge Surface Plasmon Waveguides [PDF]

JOSA B, Vol. 29, Issue 3, pp. 340-345 (2012), 2011
We investigate surface plasmon modes supported by flat-top silver nano-ridges. We calculate the mode electromagnetic field distribution, the dispersion curve, the travel range, and the figure-of-merit of the nano-ridge mode. We find that the nano-ridge surface plasmon modes are quasi-TEM modes with longitudinal field components three orders of ...
Adato, Al-Bader, Barnes, Berini, Berini, Berini, Berini, Berini, Boardman, Bozhevolnyi, Bozhevolnyi, Bozhevolnyi, Buckley, Charbonneau, Charbonneau, Chen, Chen, Cleary, Craig, Degiron, Economou, Feigenbaum, Feigenbaum, Gosciniak, Gramotnev, Greg Sun, Guo, Guo, Holmgaard, Holmgaard, Johnson, Junpeng Guo, Kou, Krasavin, Krasavin, Krasavin, Krasavin, Lamprecht, Liu, Lu, Moreno, Moreno, Nikolajsen, Novikov, Pile, Pile, Pile, Pile, Reinhardt, Richard Soref, Sarid, Satuby, Seidel, Smolyaninov, Soref, Stegeman, Steinberger, Stern, Sánchez-Gil, Veronis, Vesseur, Volkov, Walter Buchwald, Wang, Wendler, Yan, Yang, Zeyu Pan, Zia, Zia   +69 more
arxiv   +3 more sources

Anomalies in the Foundations of Ridge Regression [PDF]

Jensen, D. R. and Ramirez, D. E. (2008), Anomalies in the Foundations of Ridge Regression. International Statistical Review, 76: 89-105, 2007
Anomalies persist in the foundations of ridge regression as set forth in Hoerl and Kennard (1970) and subsequently. Conventional ridge estimators and their properties do not follow on constraining lengths of solution vectors using LaGrange's method, as claimed.
Jensen, D. R., Ramirez, D. E.
arxiv   +4 more sources

Soft Contribution to the Hard Ridge in Relativistic Nuclear Collisions [PDF]

, 2009
Nuclear collisions exhibit long-range rapidity correlations not present in proton-proton collisions. Because the correlation structure is wide in relative pseudorapidity and narrow in relative azimuthal angle, it is known as the ridge. Similar ridge structures are observed in correlations of particles associated with a jet trigger (the hard ridge) as ...
Abelev, Adamova, Adams, Adams, Adams, Adams, Adams, Adcox, Alver, Alver, Armesto, Arsene, Back, Barannikova, Chiu, Daugherity, Daugherity, De Silva, Dumitru, Dumitru, Dusling, Dusling, Gavin, Gavin, Gavin, George Moschelli, Hwa, Iordanova, Kharzeev, Lindenbaum, Majumder, Mizukawa, Nagle, Nattrass, Peitzmann, Pruneau, Pruneau, Putschke, Retiere, Romatschke, Schnedermann, Sean Gavin, Shuryak, Sorensen, Takahashi, Trainor, Voloshin, Wong, Wong   +48 more
arxiv   +3 more sources

Is the ridge formed by aligned jet propagation and medium flow? [PDF]

Nucl.Phys.A830:621c-622c,2009, 2009
Motivated by the recent observation that the ridge decreases with trigger particle angle ($\phi_s$) relative to the event plane, it is theorized that the ridge is formed by interplay between jet propagation and medium flow. Such interplay may produce asymmetry in the ridge azimuthal correlation at a fixed $\phi_s$.
Adams, Chiu, Dumitru, Feng, Joshua Robert Konzer, Konzer, Putschke, Shuryak, Takahashi, Voloshin   +9 more
arxiv   +3 more sources

Nonparametric ridge estimation

The Annals of Statistics, 2014
We study the problem of estimating the ridges of a density function. Ridge estimation is an extension of mode finding and is useful for understanding the structure of a density. It can also be used to find hidden structure in point cloud data.
Genovese, Christopher R., Perone-Pacifico, Marco, Verdinelli, Isabella, Wasserman, Larry   +3 more
core   +6 more sources

The Matrix Ridge Approximation: Algorithms and Applications [PDF]

arXiv, 2013
We are concerned with an approximation problem for a symmetric positive semidefinite matrix due to motivation from a class of nonlinear machine learning methods. We discuss an approximation approach that we call {matrix ridge approximation}. In particular, we define the matrix ridge approximation as an incomplete matrix factorization plus a ridge term.
Zhang, Zhihua
arxiv   +3 more sources

Boosting Ridge Regression [PDF]

Computational Statistics & Data Analysis, 2005
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques.
Binder, Harald, Tutz, Gerhard
core   +5 more sources

The Glasma and the Hard Ridge [PDF]

arXiv, 2009
Correlation measurements indicate that excess two particle correlations extend over causally disconnected rapidity ranges. Although, this enhancement is broad in relative rapidity $\eta=\eta_1 - \eta_2$, it is focused in a narrow region in relative azimuthal angle $\phi=\phi_1 - \phi_2$.
Gavin, Sean, Moschelli, George
arxiv   +3 more sources

Embedded ridge approximations [PDF]

Computer Methods in Applied Mechanics and Engineering, 2020
Many quantities of interest (qois) arising from differential-equation-centric models can be resolved into functions of scalar fields. Examples of such qois include the lift over an airfoil or the displacement of a loaded structure; examples of corresponding fields are the static pressure field in a computational fluid dynamics solution, and the strain ...
Geoffrey T. Parks, Mark Girolami, Mark Girolami, Chun Yui Wong, Pranay Seshadri   +4 more
openaire   +3 more sources

Children and poverty across Europe - The challenge of developing child centred policies [PDF]

, 2007
Although poor children are often the target of policy, policy itself is rarely informed by their subjective concerns. This article takes a child-centred approach to understanding the lives and experiences of children who are poor and explores how policy ...
Ridge, Tess
core   +1 more source