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New Computing Techniques in Physics Research III

Proceedings of the Third International Workshop on Software Engineering, Artificial Intelligence and Expert Systems for High Energy and Nuclear Physics
    https://doi.org/10.1142/9789814534611Cited by:0 (Source: Crossref)
    Abstract:

    The Table of Contents for the book is as follows:

    • Foreword

    • Software Engineering

      • TRAPPER - A Graphical Programming Environment for Parallel Systems

      • Physics Research Integrated Development Environment (PRIDE)

      • Software Engineering Techniques and CASE Tools in RD13

      • Computing in the Atlas Experiment at LHC

      • Computing for the CMS Experiment

      • Bridging FORTRAN to Object Oriented Paradigm for HEP Data Modeling Task

      • Real Time, Data Driven Architectures Simulated in Concurrent C++ for the LHC Second-Level Trigger

      • The SSCL Framework Software Plans

      • A Hierarchical and Distributed Control Architecture for HEP Big Data Acquisition Systems

      • Experience with a Run File Archive Using Database Techno1ogy

      • Comparative Performance Measures of Relational and Object-Oriented Databases Using High Energy Physics Data

      • Software and Computing in the OPAL Experiment at LEP

      • Simulation of Data-Acquisition and Trigger Systems in C++

      • Formal Methods in the Design of a Second-Level Trigger

      • Object-Oriented Software Design and Multiple Grid Techniques for the Simulation of Micro-Strip Gas Counters

      • Development of Graphic “User-to-Computer” Interface and Software to Offer Graphic and Alphanumeric Data Output

      • The Experiment Control System of the 3-Spectrometer-Setup at MAMI

      • Las Vegas: Object-Oriented Monte Carlo Simulations for the COSY-TOF-Spectrometer

      • Software Tool for Training FIR and FIR-OS Filters

      • Using CERNLIB, PAW and GEANT Packages on PCs Under DJGPP

      • Computing in the Ninetics - A Summary of the Topical Workshop on Software Engineering and Round Table Discussion

    • Artificial Intelligence

      • Symbolic AI

        • INTERLOG: Constraint Logic Programming on Numeric Intervals

        • Natural Language Interface for Knowledge Representation System for Mathematics

        • Efficient Implementation of Declarative Knowledge Representation in Problem-Oriented ES Shell

        • ZEX - An Expert System for ZEUS

        • DELOS - An Object-Oriented Expert System for Error Diagnosis in Particle Detectors

        • An Example of Deep Knowledge Representation for the Beam-Line Operation

        • Status of the Model-Based Expert System for Beam-Line Control and Diagnosis, Radiation Monitor Integration

        • Use of a Learning Program for Trigger Sensitivity Studies

      • Evolutionary Algorithms

        • Optimization Algorithms Imitating Nature

        • Evolutionary Control of a Population of Inference Engines

        • Adjusting Parameters of Genetic Algorithms by Fuzzy Control Rules

        • Solving Optimization Problems with Evolutionary Algorithms

      • Neural Networks

        • Trends in Neutral Network Research and an Application to Computer Vision

        • Classification with Multi-Modular Neural Networks: Comparison of Two Examples

        • A Newton-Type Algorithm for Multilayer Perceptron Training

        • Use of a Multilayer Perceptron in the CDF-Top Search in the Multijet Decay Mode

        • b-Tagging Using Shape Variables in the Hadronic Decays of the Z0

        • Application of Neural Networks in the ARGUS Experiment for the Analysis of B- and Tau-Physics

        • Tagging Heavy Majorana Neutrinos at LEP200 Using a Feed-Forward Network with Constraint Fit Inputs

        • Feature Extraction Using Self-Organizing Networks

        • Feedforward Neural Networks as an On-Line Pattern Recognition Tool

        • An Algorithm for Identifying Secondary Vertices

        • An Application of Cellular Automata and Neural Networks for Track Reconstruction in High Energy Physics

        • A Fuzzy Radon Transform for Track Recognition

        • Distortion Invariant Object Recognition under Drastically Varying Lighting Conditions

        • Model Neural Network and Threshold Calorimeter Triggers for b-Quark Events Selection in Fixed Target Experiments

        • Neural Networks Applied to a Second-Level Trigger Based on Calorimeters

        • A Feed Forward Neural Network for Recognition of Fluctuations in Electromagnetic Showers

        • Artificial Neural Networks for Reaction Discrimination in the pp-Bremsstrahlung Experiment at COSY

        • The Application of Artificial Neural Networks Techniques in SATURNE Experiment LNS284

        • Neural Network Architectures for Small Angle Muon Triggers in DZero

        • Two Applications of a Neural Network Chip to Particle Detectors

        • Results from an On-Line Neural Trigger within a Fixed Target Experiment for the Production of Beauty Particles

        • Concept for a Fast Second-Level Trigger Using a Neural Network Architecture for the H1-Experiment at HERA

        • Constructed Network for Background Encapsulation in the Second-Level Trigger of the H1-Experiment

        • Performance of Backpropagation Networks in the Second-Level Trigger of the H1-Experiment

        • ANN as a Level 2 Trigger for the H1 Experiment - Learning Strategies and Visualization -

        • Summary of Workshop B: AI

      • Symbolic Manipulation

        • Symbol Manipulation: Early History and Present Prospects

        • Automatic/Semi-Automatic Computations

        • Toward an Automatic Computation of Cross Sections Including One-Loop Diagrams

        • Perturbative QCD with Feyncalc

        • Development of the CompHEP Project

        • Calculating Various Quantities with Mincer: Correction to Γ (Z° → hadrons) and NNL Approximation to Deep Inelastic Structure Functions

        • The Calculation of ε'/ε Beyond Leading Logarithms with the Help of the TRACER γ-Algebra Package

      • Traces and Gamma5

        • γ5 Anomaly: Some Approaches in Dimensional Regularization

        • Programming of the γ5-Matrix in Dimensional Regularization in Multiloop Calculations

      • Diagrams and Loops

        • Numerical Approach to High Order Radiative Corrections in Quantum Electrodynamics

        • Progress with Multi-Loop Diagrams since AI-92

        • Automatic Reduction of Loop Amplitudes

        • Possible and Impossible in Multiloop Renormalization Group

        • Progress in Evaluating some Complicated Types of Feynman Diagrams with Two (and More) Loops

        • Differential Equation Method. The Calculation of N-Point Diagrams

        • Unstable Particles and Gauge Invariance

        • Application of Padé Approximants to the Calculation of Feynman Diagrams

        • A Closed Analytical Formula for Two-Loop Massive Tadpoles with Arbitrary Tensor Numerators

        • Handling Particle Multiplets and Fermion Number Violation in Feynman Diagram and Amplitude Generation

        • Lazy Functional Programming and Manipulation of Perturbation Series

        • A New Method for Computing One-Loop Integrals

        • Two-Loop Integrals for Arbitrary Masses

        • Reduce Usage for Calculations in Chiral Mesonic Models

      • Miscellaneous

        • Large Nf Critical Exponent Approach to Computing Perturbative RGE Functions

        • The Optimization of a Huge Form Program

        • Symbolic Computation of the Heat Kernel Expansion on Curved Manifolds

        • The Effects of the QCD Corrections to

        • Fourier Analysis of the Multi-Dimensional Distribution of Events

        • GSL: A Portable Standard LISP Interpreter

        • Symbolic Approach to Perturbed Non-Linear Dynamical Systems

    • List of Participants