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Norfolk, VA, United States

Norfolk State University is a public four-year, coed, liberal arts, historically black university located in Norfolk, Virginia. The University is a member-school of Thurgood Marshall College Fund and the Virginia High-Tech Partnership. It has been placed on "warning status" by its regional accreditor, the Southern Association of Colleges and Schools, for "financial and governance issues." Wikipedia.


Meson spectroscopy is going through a revival with the advent of high statistics experiments and new advances in the theoretical predictions. The Constituent Quark Model (CQM) is finally being expanded considering more basic principles of field theory and using discrete calculations of Quantum Chromodynamics (lattice QCD). These new calculations are approaching predictive power for the spectrum of hadronic resonances and decay modes. It will be the task of the new experiments to extract the meson spectrum from the data and compare with those predictions. The goal of this report is to describe one particular technique for extracting resonance information from multiparticle final states. The technique described here, partial wave analysis based on the helicity formalism, has been used at Brookhaven National Laboratory (BNL) using pion beams, and Jefferson Laboratory (JLab) using photon beams. In particular this report broadens this technique to include production experiments using linearly polarized real photons or quasi-real photons. This article is of a didactical nature. We describe the process of analysis, detailing assumptions and formalisms, and is directed towards people interested in starting partial wave analysis. © 2013 Elsevier B.V. Source


Qin Z.,College of William and Mary | Li Q.,College of William and Mary | Hsieh G.,Norfolk State University
IEEE Transactions on Wireless Communications | Year: 2013

Accurate spectrum sensing is important in cognitive radio networks. False sensing results in either waste of spectrum or harmful interference to primary users. To improve accuracy, cooperative spectrum sensing, in which a set of secondary users cooperatively sense the presence of the primary user, has emerged. This technique, however, opens a window for malicious users and attackers, who may remotely or physically capture the sensors and manipulate the sensing reports. In this paper, we consider the attack model whereby the attacker injects self-consistent false data simultaneously, and propose a modified COI (combinatorial optimization identification) algorithm to defend against such attacks. We also provide a theorem that detection uncertainty may exist in cooperative spectrum sensing. We intensively evaluate our algorithm with simulations, and the results show that our algorithm is a good technique to complement an existing algorithm, called IRIS. © 2002-2012 IEEE. Source


Grant
Agency: NSF | Branch: Continuing grant | Program: | Phase: CENTERS FOR RSCH EXCELL IN S&T | Award Amount: 992.42K | Year: 2016

Center for Renewable Energy and Advanced Materials

With National Science Foundation support, Norfolk State University will establish the Center for Renewable Energy and Advanced Materials. The Center consists of an interdisciplinary endeavor to help achieve an affordable, sustainable and clean supply of global energy. The Center will develop advanced materials and devices for renewable energy, such as solar, thermoelectric, battery and high-performance low-energy-consuming devices and sensors.

Center activities are comprised of three research thrusts (i) Renewable energy harvesting, (ii) Energy storage, and (iii) Low energy consumption and high performance electro-optic and sensor devices. Renewable energy harvesting efforts are devoted to the development and fundamental study of nanostructures based energy materials such as semiconductor nanocrystals, perovskite organic-inorganic lead iodide-based solar cells, organic-inorganic thermoelectric materials, magnetoelectric composites and their measurements of all physical properties, including transient and intensity decay of time-resolved spectroscopy, and simulation and modeling in order to understand the mechanism. These efforts will advance several major energy applications, in particular, solar cells, thermoelectric generators, and other optoelectronic applications.

Energy storage research efforts focus on the development and computational study of nanomaterials based Li-ion battery, supercapacitors, and bimetallic cellulose embedded energy storage device and high-performance energy storage devices. Research on the development of energy or power-efficient devices, will focus on biosensors, as well as optoelectronic and energy conversion devices based on artificial nanostructures.

The Center for Renewable Energy and Advanced Materials will develop educational materials for the high school, community college, science museum and university levels to advance understanding of sustainable energy technologies, practices and clean energy alternatives to shape the work force and talent pool of the future. Center activities will also enhance the quality of training for a large number of African Americans in this interdisciplinary area.


Grant
Agency: NSF | Branch: Continuing grant | Program: | Phase: Nuclear & Hadron Quantum Chrom | Award Amount: 90.30K | Year: 2015

The neutrons and protons that make up the nucleus of every atom are themselves made up of constituent particles called quarks and gluons, and held together by what we call the strong nuclear force. This award supports research to the study of the strong interactions between those elementary constituents of matter. More specifically, it is aimed at understanding the properties of the theory of the strong force, named Quantum Chromodynamics or QCD, at energies where nucleons are formed and it is most relevant,. To this end, the PI and the students supported by this award will perform experiments at The Thomas Jefferson National Accelerator Facility (Jefferson Lab,) in Newport News, VA. NSU faculty and undergraduate students will participate in the construction of hardware and in the analysis of data from experiments in the forefront of intermediate energy nuclear physics. Norfolk State University is one of the leading Historically Black Colleges and Universities. NSU graduates more African-American physics majors than all of the other Virginia universities combined. It is a goal of this project to strengthen the national participation of undergraduate minorities in nuclear and particle physics research.

In the recent years, numerical solutions of QCD (Lattice-QCD) have provided with a mass spectrum of light-mass mesons. Therefore, it is time for improving our experimental determination of the poorly known light-mass meson spectrum to compare with predictions. Since the interaction carrier of the strong interaction, the gluon, is sensitive to the strong interaction, it is also possible that gluons can be externally observable in the meson spectrum as exotic mesons (particles made of a quark, an antiquark and a gluon). One main question in meson spectroscopy is: Can we find hints of the gluon in the meson spectrum? The PI is analyzing data from meson spectroscopy experiments performed with the CEBAF Large Acceptance Spectrometer (CLAS) in Jefferson Labs Hall B to search for those hints. He is also involved in two new experiments named GlueX and CLAS12, at the Jefferson Lab 12 GeV upgrade. Partial Wave Analysis (PWA) is the technique used for that analysis. The first PWA results have been published and more PWA results are progressing in several channels. The main work is in developing and upgrading new techniques of amplitude and partial wave analysis.


Grant
Agency: National Science Foundation | Branch: | Program: STTR | Phase: Phase I | Award Amount: 225.00K | Year: 2016

This Small Business Technology Transfer (STTR) Phase I project has the potential to improve health and safety of individuals in society. The ability to detect harmful substances and disease is critical to human health and safety. Multiple detection technologies are currently used to detect harmful substances and disease. Colorimetric methods are preferred for field detection because they are low-cost, easy-to-use, and field-rugged; however, their utilization is limited by a lack of sensitivity. While more complex detection technologies have excellent sensitivity, their field usefulness is limited by their high cost, complexity of use, and fragility. The proposed innovation enables amplification of colorimetric detection, thereby improving the perceived sensitivity of the technology. As a result, the proposed innovation has the potential to enable new low-cost devices that detect harmful substances and disease. The results of this effort will also provide further insight into the understanding of both fundamental and applied aspects of nanostructured materials. This multi-disciplinary effort involves transformative research which will further the integration of composite materials into real-world sensor applications. The intellectual merit of this project is the demonstration of a color amplification strategy which would improve the detection limits of any colorimetric chemistry by one to three orders of magnitude. The main objective of this effort is to demonstrate colorimetric response amplification via the use of synergistic composite materials from nanomaterials and colorimetric thin film sensors. Methods to be employed include thin-film deposition and electron beam lithography for the production of nanostructured materials. A composite approach involving nanomaterials and thin-film coatings potentially offers significantly enhanced colorimetric sensing capabilities through color amplification. The intrinsic absorption efficiency of a colorimetric indicator defines the maximum potential performance of that indicator in a passive sensor. The proposed innovation aims to artificially increase the absorption efficiency of colorimetric indicators, and thus render sensors made from these materials significantly more sensitive to chemical analytes of interest. Nanomaterial-functionalized flexible substrates will be designed and fabricated, on which thin-film colorimetric sensing coatings will be deposited. The colorimetric response of these thin-film composite sensors will be evaluated as a function of exposure to chlorine gas. Colorimetric response enhancements will be assessed based on spectroscopic reflectance data.

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