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State College, MI, United States

We discuss the gluon saturation/color glass condensate effects on J/ψ production in high energy pA and AA collisions. We report the results of numerical calculations of the corresponding nuclear modification factors. We found a good agreement between our calculations and the experimental data on J/ψ production in pA collisions. We also observe that cold nuclear modification effects alone cannot describe the data on J/ψ production in AA collisions. Our numerical calculations indicate that the discrepancy arises mostly from the higher p T's. Additional final state suppression (at RHIC) and enhancement (at LHC) mechanisms are required to explain the experimental data. © 2013 Elsevier B.V.

Liu J.,University of Wisconsin - Madison | Musialski P.,is Research Center | Wonka P.,State University | Wonka P.,King Abdullah University of Science and Technology | Ye J.,Arizona State University
IEEE Transactions on Pattern Analysis and Machine Intelligence | Year: 2013

In this paper, we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process or because the user manually identified unwanted outliers. Our algorithm works even with a small amount of samples and it can propagate structure to fill larger missing regions. Our methodology is built on recent studies about matrix completion using the matrix trace norm. The contribution of our paper is to extend the matrix case to the tensor case by proposing the first definition of the trace norm for tensors and then by building a working algorithm. First, we propose a definition for the tensor trace norm that generalizes the established definition of the matrix trace norm. Second, similarly to matrix completion, the tensor completion is formulated as a convex optimization problem. Unfortunately, the straightforward problem extension is significantly harder to solve than the matrix case because of the dependency among multiple constraints. To tackle this problem, we developed three algorithms: simple low rank tensor completion (SiLRTC), fast low rank tensor completion (FaLRTC), and high accuracy low rank tensor completion (HaLRTC). The SiLRTC algorithm is simple to implement and employs a relaxation technique to separate the dependant relationships and uses the block coordinate descent (BCD) method to achieve a globally optimal solution; the FaLRTC algorithm utilizes a smoothing scheme to transform the original nonsmooth problem into a smooth one and can be used to solve a general tensor trace norm minimization problem; the HaLRTC algorithm applies the alternating direction method of multipliers (ADMMs) to our problem. Our experiments show potential applications of our algorithms and the quantitative evaluation indicates that our methods are more accurate and robust than heuristic approaches. The efficiency comparison indicates that FaLTRC and HaLRTC are more efficient than SiLRTC and between FaLRTC and HaLRTC the former is more efficient to obtain a low accuracy solution and the latter is preferred if a high-accuracy solution is desired. © 1979-2012 IEEE.

State University | Date: 2012-06-14

Embodiments of embedded MEMS sensors and related methods are described herein. Other embodiments and related methods are also disclosed herein.

State University | Date: 2012-11-30

Disclosed herein are embodiments of an essential oil extraction apparatus. In some embodiments, the apparatus comprises a container configured to hold an essential oil-containing material, an essential oil extract receiver contained in the container, a condenser having an outlet fluidly coupled to the receiver and located relative to the container so as to receive essential oil-containing vapor emitted by the essential oil-containing material; and at least one microwave reflection structure associated with at least one of the container, the receiver or the condenser. The apparatus can have an overall dimension that is sufficiently small so that the apparatus fits inside a standard-sized kitchen microwave oven.

State University | Date: 2012-12-05

A method for making a pressure sensitive adhesive comprising: A method for making a pressure sensitive adhesive comprising:

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