New Computing Techniques in Physics Research III

Proceedings of the 3rd International Workshop on Software Engineering, AI and Expert Systems for High Energy and Nuclear Physics

3rd International Workshop on Software Engineering, AI and Expert Systems for High Energy and Nuclear Physics

, Oberammergau, Germany

, 04 – 08 October 1993

https://doi.org/10.1142/2297 | April 1994

Pages: 684

Edited by:
K-H Becks (University of Wuppertal, Germany) and
D Perret-Gallix (LAPP-IN²P³ (Annecy) CNRS, France)

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ISBN: 978-981-4551-70-0 (ebook) USD 64.00 Add to cart

No basic or applied physics research can be done nowadays without the support of computing systems, ranging from cheap personal computers to large multi-user mainframes. Some research fields like high energy physics would not exist if computers had not been invented. Departing from the more conventional numerical applications, this series of workshops has been initiated to focus on Artificial Intelligence (AI) related developments, such as symbolic manipulation for lengthy and involved algebraic computations, software engineering to assist groups of developers in the design, coding and maintenance of large packages, expert systems to mimic human reasoning and strategy in the diagnosis of equipment or neural networks to implement a model of the brain to solve pattern recognition problems. These techniques, developed some time ago by AI researchers, are confronted by down-to-earth problems arising in high-energy and nuclear physics. All this and more are covered in these proceedings.

Contents:

Software Engineering:
- TRAPPER — A Graphical Programming Environment for Parallel Systems (O Krämer-Fuhrmann et al.)
- Physics Research Integrated Development Environment (J Burton & L Cormell)
- Computing in the Atlas Experiment at LHC (K Bos & S W O'Neale)
- Computing for the CMS Experiment (V Karimäki)
Artificial Intelligence:
- ZEX — An Expert System for ZEUS (U Behrens et al.)
- Optimization Algorithms Imitating Nature (F Kurawe)
- Trends in Neural Network Research and an Applications to Computer Vision (E Littmann)
- Results from an On-Line Neural Trigger within a Fixed Target Experiment for the Production of Beauty Particles (C Baldanza et al.)
- Concept for a Fast Second-Level Trigger Using a Neural Network Architecture for the H1-Experiment at HERA (C Kiesling et al.)
Symbolic Manipulation:
- Symbol Manipulation: Early History and Present Prospects (M Veltman)
- Numerical Approach to High Order Radiative Corrections in Quantum Electrodynamics (T Kinoshita)
- The Optimization of a Huge Form Program (S A Larin et al.)
and other papers

Readership: Physicists and computer scientists.

No Access

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

K.-H. Becks and
D. Perret-Gallix

Pages:1–684

https://doi.org/10.1142/9789814534611

Preview 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 N_f 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