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Over the last three years a significant program of detector technology research and development for high luminosity, high energy hadron-hadron colliders has been underway in the United States, Japan and Europe. In as much as the first formal steps have been undertaken to initiate the experimental program at the Superconducting Super Collider (SSC), it is appropriate to assess in detail the status of this R&D effort.Results and Plans for Advanced Technology R&D for Particle Physics Detectors Appropriate for SSC Experiments are Presented. Specific Topics include: Calorimetry; Particle Tracking and Identification Techniques; Vertex-Detection; Magnets; Front-End Electronics; Data Acquisition Electronics; Techniques in Triggering; Data Transmission; Data Analysis and Simulation Software; Studies on Radiation Damage to Materials and Electronics.
This meeting addresses all aspects of computational methodology with applications to most branches of physics, especially massively parallel computing, symbolic computing, Monte Carlo simulations of quantum systems, neuro-computing, fluids and plasmas, physics education, mesoscopic physics, dynamical systems, molecular dynamics, Monte Carlo techniques, etc.
A vivid example of the growing need for frontier physics experiments to make use of frontier technology is in the field of Artificial Intelligence (AI) and related themes.By AI we are referring here to the use of computers to deal with complex objects in an environment based on specific rules (Symbolic Manipulation), to assist groups of developers in the design, coding and maintenance of large packages (Software Engineering), to mimic human reasoning and strategy with knowledge bases to make a diagnosis of equipment (Expert Systems) or to implement a model of the brain to solve pattern recognition problems (Neural Networks). These techniques, developed some time ago by AI researchers, are confronted by down-to-earth problems arising in high-energy and nuclear physics. However, similar situations exist in other 'big sciences' such as space research or plasma physics, and common solutions can be applied.The magnitude and complexity of the experiments on the horizon for the end of the century clearly call for the application of AI techniques. Solutions are sought through international collaboration between research and industry.
Engages with the impact of modern technology on experimental physicists. This study reveals how the increasing scale and complexity of apparatus has distanced physicists from the very science which drew them into experimenting, and has fragmented microphysics into different technical traditions.
Novel Monte Carlo Algorithms for Fermionic Systems are badly needed in high energy and solid state physics. At this workshop the newest developments in this direction were presented, in particular those concerning multi-grid techniques, cluster algorithms and massively parallel implementations.
This volume provides an overview of the state of the art in computational accelerator physics, based on papers presented at the seventh international conference at Michigan State University in October 2002. The major topics covered in this volume include particle tracking and ray tracing, transfer map methods, field computation for time dependent Maxwell's equations and static magnetic problems, as well as space charge and beam-beam effects. The book also discusses modern computational environments, including parallel clusters, visualization, and new programming paradigms. It is ideal for scientists and engineers working in beam or accelerator physics and related areas of applied math and computer science.