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ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH: VII International Conference: ACAT 2000

Pushpalatha C. Bhat, Fermi National Accelerator Laboratory, Batavia, IL, USA ; Matthias Kasemann, Fermi National Accelerator Laboratory, Batavia, IL, USA


AIP Conference Proceedings 583


Conference Location and Date: Batavia, Illinois, 16-20 October 2000

Subseries: None

Published August 2001; ISBN 0-7354-0023-7 One Volume, Print; 426 pages; 8.5 x 11 inches, double column; $170.00

Readership: physicists, computer scientists, applied mathematicians, information theorists, engineers

Over the next decade or two, an impressive array of scientific instruments at the Tevatron, RHIC (Relativistic Heavy Ion Collider) and LHC (Large Hadron Collider), LIGO (Laser Interferometer Gravitational Observatory) and SDSS (Sloan Digital Sky Survey), to name a few, will usher in the most comprehensive program of study of the fundamental forces of nature and the structure of the universe. Major discoveries are anticipated. But, it is our conviction that the pace of discoveries will be severely impeded unless a concerted effort is made to deploy and employ advanced computing techniques to handle, process and analyze the unprecedented amounts of data. The workshop followed four main tracks: Artificial Intelligence (neural networks and other adaptive multivariate methods); Innovative Software Algorithms and Tools; Symbolic Problem Solving; and Very Large Scale Computing. The workshop covered applications in high energy physics, astrophysics, accelerator physics, and nuclear physics. Topics included are: uses of C++ in scientific computing, large scale simulations, advanced analysis environments, worldwide computing; -- artificial intelligence: online application of neural networks, applications in data analysis, theoretical aspects; -- innovative software algorithms and tools: online monitoring and controls, physics analysis and reconstruction algorithms, patterns recognition techniques, common libraries, grid and distributed computing techniques; -- symbolic problem solving: Freynman diagram algorithms and tools, symbolic manipulation via function objects, symbolic techniques for Feynman diagrams, multi-loop calculations and results; -- very large scale computing: online monitoring and controls, analysis farms and DAQ systems, grid architectures.

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