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AMSC 663-664 Projects, 2002-2003

Below are the links to each student's AMSC 663-664 project webpage.


  • James Cooley, cooley@physics.umd.edu
    Project Title: Quasi-Static Simulation for Laser-Plasma Interactions
    Project Supervisor: Thomas Antonsen (Physics)

    Abstract: Recent developments in high intensity lasers have led to increased interest in applications associated with the high energy densities now achievable. These applications include Inertial-Confinement Fusion (ICF) and Laser Wakefield Accelerators (LWFA). The interaction of these high fields with matter, both netural and ionized is highly nonlinear and is characterized by a large number of instabilities. This proposal presents plans to implement and develop a three-dimensional simulation package to examine these phenomena in the quasi-static approximation.


  • Daniel M. Dunlavy, ddunlavy@math.umd.edu
    Project Title: An Information Retrieval System for Improving Efficiency in Scientific Literature Searches
    Project Supervisor: Dianne O'Leary (Computer Science)

    Abstract: Conducting scientific research most often involves a search through existing literature in order to avoid repeating research efforts, review methods already developed for solving a problem, gain a better understanding of a problem, etc. Typically, this search is performed using the Internet, which is a convenient portal to various databases of books, journal articles, technical reports, preprints, etc.

    In order to improve efficiency in these literature searches, the QCS (= Query, Cluster, Summarize) information retrieval system is proposed. Given a query, QCS will retrieve documents relevant to the query, separate the retrieved documents into topic clusters, and create a single summary document for each topic cluster. Latent Semantic Indexing will be used for the retrieval, spherical k-means will be used for the document clustering, and a hidden Markov model coupled with a pivoted QR decomposition will be used to create a single extract summary for each topic cluster. The evaluation of QCS will be performed using data from the Document Understanding Conferences (DUC '01, '02).



  • John Harlim, jharlim@math.umd.edu
    Project Title: Thickening Ensembles of Solutions to Weather Prediction Models
    Project Supervisor: Istvan Szunyogh (Meteorology/IPST)

    Abstract: The goal of this project is to implement an algorithm for generating initial ensemble perturbations for the purpose of improving the accuracy of numerical weather prediction. While one way to improve accuracy is to develop better models, we propose instead an algorithm that improves the accuracy of any given model. In our project, we implement the module on the operational model used at the National Center of Environmental Prediction (NCEP).



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