Data Analysis in Astronomy II, Softcover reprint of the original 1st ed. 1986
Polymer Science and Technology Series, Vol. 21

The II international workshop on "Data Analysis in Astronomy" was intended to provide an overview on the state of the art and the trend in data analy­ sis and image processing in the context of their applications in Astronomy. The need for the organization of a second workshop in this subject derived from the steady. growing and development in the field and from the increasing cross-interaction between methods, technology and applications in Astronomy. The book is organized in four main sections: - Data Analysis Methodologies - Data Handling and Systems dedicated to Large Experiments - Parallel Processing - New Developments The topics which have been selected cover some of the main fields in data analysis in Astronomy. Methods that provide a major contribution to the physical interpretation of the data have been considered. Attention has been devoted to the description of the data analysis and handling organization in very large experiments. A review of the current major satellite and ground based experiments has been included. At the end of the book the following 'Panel Discussions' are included: - Data Analysis Trend in Optical and Radio Astronomy - Data Analysis Trend in X and Gamma Astronomy - Problems and Solutions in the Design of Very Large Experiments - Trend on Parallel Processing Algorithms These contributions in a sense summarize the 'live' reaction of the audience to the various topics.

Data Analysis Methodologies.- A Statistician’s View of Data Analysis.- Cluster Photometry: Present State of the Art and Future Developments.- Clustering Techniques and their Applications.- Problems and Solutions in Surface Photometry.- Classification of Low-Resolution Stellar Spectra via Template Matching — A Simulation Study.- An Approach to the Astronomical Optical Data Compression.- Coded Aperture Imaging.- Study of Pulsar Ligth Curves by Cluster Analysis.- Multivariate Cluster Analysis of Radio Pulsar Data.- Automatic Processing of Very Low-Dispersion Spectra.- Data Handling Systems Dedicated to Large Experiments.- VLA: Methodological and Computational Requirements.- Perspective on Data Analysis for the Space Telescope.- Present and Planned Large Groundbased Telescopes: an Overview of some Computer and Data Analysis Applications Associated with their Use.- Data Analysis for the ROSAT Mission.- Preparing Analysis of Hubble Space Telescope Data in Europe.- COMPASS: the COMPTEL Processing and Analysis Software System.- The Strasbourg Astronomical Data Centre (CDS) and the Setting Up of a European Astronomical Data Network.- An Indexing Algorithm for Large Multidimensional Arrays.- The European Scientific Data Archive for the Hubble Space Telescope.- Parallel Processing.- Cellular Machines: Theory and Practice.- The PAPIA Project.- Languages for Parallel Processors.- The Massively Parallel Processor: a Highly Parallel Scientific Computer.- Parallel Processing: from Low- to High-Level Vision.- Low Level Languages for the PAPIA Machine.- New Developments.- Expert Systems for Data Analysis.- An Unified View of Artificial Intelligence and Computer Vision.- Data Storage and Retrieval in Astronomy.- Vector Computers in Astronomical Data Analysis.- Panel Discussions.- DataAnalysis Trend in Optical and Radio Astronomy.- Data Analysis Trends in X-Ray and Gamma-Ray Astronomy.- Problems in Large Scale Experiments.- Trends in Parallel Processing Applications.